Mathematics Books
John Wiley & Sons Inc Clinical Experiments WCL Paper 73 Wiley Classics
Book SynopsisFirst published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs.Table of ContentsReliability of Measurement. Simple Linear Regression Analysis. The Parallel Groups Design. Special Cases of the Parallel Groups Study. Blocking to Control for Prognostic Variables. Stratification to Control for Prognostic Variables. Analysis of Covariance and the Study of Change. Repeated Measurements Studies. Latin and Greco-Latin Squares. The Crossover Study. Balanced Incomplete Block Designs. Factorial Experiments. Split-Plot Designs and Confounding. Appendix. Indexes.
£130.45
John Wiley & Sons Inc Optimization
Book SynopsisThis paperback edition of the popular 1999 title presents a series of approaches to the challenges faced by analysts who must find the best way to accomplish particular objectives, usually with the added complication of constraints on the available choices. Award-winning educator Ronald E.Trade ReviewThe author's extensive teaching experience is reflected in hisupbeat, relaxed writing style and preesntation. (Short BookReviews, V21, No1, April 2001) "...accessible to people who have neither formal mathematicaltraining nor any background in optimization...this text could beuseful for an introductory class on optimization..." (SIAM Review,Vol. 43, No. 3)Table of ContentsFOUNDATIONS: LINEAR METHODS. Matrix Algebra. Systems of Linear Equations. FOUNDATIONS: NONLINEAR METHODS. Unconstrained Maximization and Minimization. Constrained Maximization and Minimization. APPLICATIONS: ITERATIVE METHODS FOR NONLINEAR PROBLEMS. Solving Nonlinear Equations. Solving Unconstrained Maximization and Minimization Problems. APPLICATIONS: CONSTRAINED OPTIMIZATION IN LINEAR MODELS. Linear Programming: Fundamentals. Linear Programming: Extensions. Linear Programming: Interior Point Methods. APPLICATIONS: CONSTRAINED OPTIMIZATION IN NONLINEAR MODELS. Nonlinear Programming: Fundamentals. Nonlinear Programming: Duality and Computational Methods. Problems. References.
£163.76
John Wiley & Sons Inc Convexity and Optimization in Rn
Book SynopsisThis book presents the mathematics of finite dimensional constrained optimization problems. It offers a solid presentation of real analysis and provides a basis for the mathematical study of convexity, of more general optimization problems, and of numerical algorithms for the solution of finite dimensional optimization problems.Trade Review"...a nice introduction to finite-dimensional optimization..."(Zentralblatt Math, Vol.991, No.16, 2002) "A textbook for a one-semester...course for students ofengineering, economics, operations research, and mathematics."(SciTech Book News, Vol. 26, No. 2, June 2002) "...a fine introductory textbook that provides a solid introductionto the subject as well as a good foundation for further study..."(Mathematical Reviews, 2003a)Table of ContentsPreface. I: Topics in Real Analysis. 1. Introduction. 2. Vectors in R". 3. Algebra of Sets. 4. Metric Topology of R". 5. Limits and Continuity. 6. Basic Propertyof Real Numbers. 7. Compactness. 8. Equivalent Norms and Cartesian Products. 9. Fundamental Existence Theorem. 10. Linear Transformations. 11. Differentiation in R". II: Convex Sets in R". 1. Lines and Hyperplanes in R". 2. Properties of Convex Sets. 3. Separation Theorems. 4. Supporting Hyperplanes:Extreme Points. 5. Systems of Linear Inequalities:Theorems of the Alternative. 6. Affine Geometry. 7. More on Separation and Support. III: Convex Functions. 1. Definition and Elementary Properties. 2. Subgradients. 3. Differentiable Convex Functions. 4. Alternative Theorems for Convex Functions. 5. Application to Game Theory. IV: Optimization Problems. 1. Introduction. 2. Differentiable Unconstrained Problems. 3. Optimization of Convex Functions. 4. Linear Programming Problems. 5. First-Order Conditions for Differentiable NonlinearProgrammingProblems. 6. Second-Order Conditions. V: Convex Programming and Duality. 1. Problem Statement. 2. Necessary Conditions and Sufficient Conditions. 3. Perturbation Theory. 4. Lagrangian Duality. 5. Geometric Interpretation. 6. Quadratic Programming. 7. Dualityin Linear Programming. VI: Simplex Method. 1. Introduction. 2. Extreme Points of Feasible Set. 3. Preliminaries to Simplex Method. 4. Phase II of Simplex Method. 5. Termination and Cycling. 6. Phase I of Simplex Method. 7. Revised Simplex Method. Bibliography. Index.
£141.26
John Wiley & Sons Inc Topology of Surfaces Knots and Manifolds
Book SynopsisTopology of Surfaces, Knots, and Manifolds offers an intuition-based and example-driven approach to the basic ideas and problems involving manifolds, particularly one- and two-dimensional manifolds. A blend of examples and exercises leads the reader to anticipate general definitions and theorems concerning curves, surfaces, knots, and links-the objects of interest in the appealing set of mathematical ideas known as rubber sheet geometry. The result is a text that is accessible to a broad range of undergraduate students, yet still provides solid coverage of the mathematics underlying these topics.Table of ContentsIntroduction and Intuitive Ideas Manifolds Classification of Compact Surfaces Putting More Structure on Surfaces Graphs and Topology Knot Theory
£139.45
John Wiley & Sons Inc Linear and Nonlinear Waves
Book SynopsisNow in an accessible paperback edition, this classic work is just as relevant as when it first appeared in 1974, due to the increased use of nonlinear waves. It covers the behavior of waves in two parts, with the first part addressing hyperbolic waves and the second addressing dispersive waves.Trade ReviewThe re-issue of this excellent book on linear and nonlinear waves in paperback form is to be welcomed. (Zentralblatt Math, Volume 940, No 15, 2000)Table of ContentsIntroduction and General Outline. HYPERBOLIC WAVES. Waves and First Order Equations. Specific Problems. Burger's Equation. Hyperbolic Systems. Gas Dynamics. The Wave Equation. Shock Dynamics. The Propagation of Weak Shocks. Wave Hierarchies. DISPERSIVE WAVES. Linear Dispersive Waves. Wave Patterns. Water Waves. Nonlinear Dispersion and the Variational Method. Group Velocities, Instability, and Higher Order Dispersion. Applications of the Nonlinear Theory. Exact Solutions: Interacting Solitary Waves. References. Index.
£139.45
John Wiley & Sons Inc Integer and Combinatorial Optimization
Book SynopsisDiscrete optimization models are used to tackle a wide variety of problems in many fields, including operations research, management science, engineering, and mathematics. Written by two internationally recognized integer programming experts, this book presents the mathematical foundations, theory, and algorithms of discrete optimization methods.Table of ContentsFOUNDATIONS. The Scope of Integer and Combinatorial Optimization. Linear Programming. Graphs and Networks. Polyhedral Theory. Computational Complexity. Polynomial-Time Algorithms for Linear Programming. Integer Lattices. GENERAL INTEGER PROGRAMMING. The Theory of Valid Inequalities. Strong Valid Inequalities and Facets for Structured Integer Programs. Duality and Relaxation. General Algorithms. Special-Purpose Algorithms. Applications of Special- Purpose Algorithms. COMBINATORIAL OPTIMIZATION. Integral Polyhedra. Matching. Matroid and Submodular Function Optimization. References. Indexes.
£141.26
John Wiley & Sons Inc Numerical Solution of Partial Differential
Book SynopsisFrom the reviews of Numerical Solution of Partial Differential Equations in Science and Engineering: The book by Lapidus and Pinder is a very comprehensive, even exhaustive, survey of the subject . . . [It] is unique in that it covers equally finite difference and finite element methods. Burrelle''s The authors have selected an elementary (but not simplistic) mode of presentation. Many different computational schemes are described in great detail . . . Numerous practical examples and applications are described from beginning to the end, often with calculated results given. Mathematics of Computing This volume . . . devotes its considerable number of pages to lucid developments of the methods [for solving partial differential equations] . . . the writing is very polished and I found it a pleasure to read! Mathematics of Computation Of related interest . . . NUMERICAL ANALYSTable of ContentsFundamental Concepts. Basic Concepts in the Finite Difference and Finite Element Methods. Finite Elements on Irregular Subspaces. Parabolic Partial Differential Equations. Elliptic Partial Differential Equations. Hyperbolic Partial Differential Equations. Index.
£144.85
John Wiley & Sons Inc The Statistical Analysis of Failure Time Data 2nd
Book SynopsisCovers the knowledge and practice in the general area of survival analysis.Trade Review"…provides excellent exposure to the theory." (Journal of Statistical Computation and Simulation, June 2005) "The book contains a wealth of material and analytic insight…will continue to be an invaluable resource for all researchers and graduate students in the field…for years to come." (Journal of the American Statistical Association, December 2003) "...researchers in hazard function are likely to find new and valuable information in this book..." (Journal of Mathematical Psychology, Vol. 47 2003) "Do you work in life statistics or reliability statistics? If so, you probably need this book...it contains everything you have ever wanted to know plus a lot more...the second edition...is a great book—improved, modernized, and comprehensive..." (Technometrics, Vol. 45, No. 3, August 2003) "A review of the first edition, my first contribution to Short Book Reviews...stated 'This book should become a standard reference in the field.' In view of the undeniable accuracy of that prediction, need I say more?" (Short Book Reviews, Vol. 23, No. 2, August 2003)Table of ContentsPreface. 1. Introduction. 1.1 Failure Time Data. 1.2 Failure Time Distributions. 1.3 Time Origins, Censoring, and Truncation. 1.4 Estimation of the Survivor Function. 1.5 Comparison of Survival Curves. 1.6 Generalizations to Accommodate Delayed Entry. 1.7 Counting Process Notation. Bibliographic Notes. Exercises and Complements. 2. Failure Time Models. 2.1 Introduction. 2.2 Some Continuous Parametric Failure Time Models. 2.3 Regression Models. 2.4 Discrete Failure Time Models. Bibliographic Notes. Exercises and Complements. 3. Inference in Parametric Models and Related Topics. 3.1 Introduction. 3.2 Censoring Mechanisms. 3.3 Censored Samples from an Exponential Distribution. 3.4 Large-Sample Likelihood Theory. 3.5 Exponential Regression. 3.6 Estimation in Log-Linear Regression Models. 3.7 Illustrations in More Complex Data Sets. 3.8 Discrimination Among Parametric Models. 3.9 Inference with Interval Censoring. 3.10 Discussion. Bibliographic Notes. Exercises and Complements. 4. Relative Risk (Cox) Regression Models. 4.1 Introduction. 4.2 Estimation of . 4.3 Estimation of the Baseline Hazard or Survivor Function. 4.4 Inclusion of Strata. 4.5 Illustrations. 4.6 Counting Process Formulas. 4.7 Related Topics on the Cox Model. 4.8 Sampling from Discrete Models. Bibliographic Notes. Exercises and Complements. 5. Counting Processes and Asymptotic Theory. 5.1 Introduction. 5.2 Counting Processes and Intensity Functions. 5.3 Martingales. 5.4 Vector-Valued Martingales. 5.5 Martingale Central Limit Theorem. 5.6 Asymptotics Associated with Chapter 1. 5.7 Asymptotic Results for the Cox Model. 5.8 Asymptotic Results for Parametric Models. 5.9 Efficiency of the Cox Model Estimator. 5.10 Partial Likelihood Filtration. Bibliographic Notes. Exercises and Complements. 6. Likelihood Construction and Further Results. 6.1 Introduction. 6.2 Likelihood Construction in Parametric Models. 6.3 Time-Dependent Covariates and Further Remarks on Likelihood Construction. 6.4 Time Dependence in the Relative Risk Model. 6.5 Nonnested Conditioning Events. 6.6 Residuals and Model Checking for the Cox Model. Bibliographic Notes. Exercises and Complements. 7. Rank Regression and the Accelerated Failure Time Model. 7.1 Introduction. 7.2 Linear Rank Tests. 7.3 Development and Properties of Linear Rank Tests. 7.4 Estimation in the Accelerated Failure Time Model. 7.5 Some Related Regression Models. Bibliographic Notes. Exercises and Complements. 8. Competing Risks and Multistate Models. 8.1 Introduction. 8.2 Competing Risks. 8.3 Life-History Processes. Bibliographic Notes. Exercises and Complements. 9. Modeling and Analysis of Recurrent Event Data. 9.1 Introduction. 9.2 Intensity Processes for Recurrent Events. 9.3 Overall Intensity Process Modeling and Estimation. 9.4 Mean Process Modeling and Estimation. 9.5 Conditioning on Aspects of the Counting Process History. Bibliographic Notes. Exercises and Complements. 10. Analysis of Correlated Failure Time Data. 10.1 Introduction. 10.2 Regression Models for Correlated Failure Time Data. 10.3 Representation and Estimation of the Bivariate Survivor Function. 10.4 Pairwise Dependency Estimation. 10.5 Illustration: Australian Twin Data. 10.6 Approaches to Nonparametric Estimation of the Bivariate Survivor Function. 10.7 Survivor Function Estimation in Higher Dimensions. Bibliographic Notes. Exercises and Complements. 11. Additional Failure Time Data Topics. 11.1 Introduction. 11.2 Stratified Bivariate Failure Time Analysis. 11.3 Fixed Study Period Survival Studies. 11.4 Cohort Sampling and Case-Control Studies. 11.5 Missing Covariate Data. 11.6 Mismeasured Covariate Data. 11.7 Sequential Testing with Failure Time Endpoints. 11.8 Bayesian Analysis of the Proportional Hazards Model. 11.9 Some Analyses of a Particular Data Set. Bibliographic Notes. Exercises and Complements. Glossary of Notation. Appendix A: Some Sets of Data. Appendix B: Supporting Technical Material. Bibliography. Author Index. Subject Index.
£145.76
John Wiley & Sons Inc Biostatistical Methods Wiley Series in
Book SynopsisAn introduction to classical biostatistical methods in epidemiology, this text provides an introduction to a range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. It also includes a discussion of measurement issues in epidemiology, especially confounding, with an overview of logistic and Cox regression.Trade Review“…besides being a reference book (it)…includes an interesting reading matter…” (Statistics in Medicine, Vol.23, No.23, 15th December 2004) "Introduces methods used to analyze epidemiologic data, with a focus on non-regression techniques." (SciTech Book News, Vol. 25, No. 4, December 2001) "...well suited as an introductory text.... I also recommend this book to practitioners...students, health professionals and epidemiologists…all these groups will find it useful." (Statistical Methods in Medical Research, Vol. 11, No. 1, 2002) "This book has much to recommend it...a useful resource on basic techniques and a supplement to other texts for an intermediate-level audience." (Epidemiology, Vol. 13, No. 3, May 2002) "offers a very thorough presentation....profuse and excellent illustrations." (Technometrics, Vol. 44, No. 3, August 2002) "...both a pleasure to read and an excellent reference...researchers and students alike will benefit from having this book on their shelves..." (Journal of the American Statistical Association, March 2003)Table of ContentsIntroduction. Measurement Issues in Epidemiology. Binomial Methods for Single Sample Closed Cohort Data. Odds Ratio Methods for Unstratified Closed Cohort Data. Odds Ratio Methods for Stratified Closed Cohort Data. Risk Ratio Methods for Closed Cohort Data. Risk Difference Methods for Closed Cohort Data. Survival Analysis. Kaplan-Meier and Actuarial Methods for Censored Survival Data. Poisson Methods for Censored Survival Data. Odds Ratio Methods for Case-Control Data. Standardized Rates and Age-Period-Cohort Analysis. Life Tables. Sample Size and Power. Logistic Regression and Cox Regression. Appendix A: Odds Ratio Inequality. Appendix B: Maximum Likelihood Theory. Appendix C: Hypergeometric and Conditional Poisson Distributions. Appendix D: Quadratic Equation for the Odds Ratio. Appendix E: Matrix Identities and Inequalities. Appendix F: Survival Analysis and Life Tables. Appendix G: Confounding in Open Cohort and Case-Control Studies. Appendix H: Odds Ratio Estimate in a Matched Case-Control Study. References. Index.
£152.06
John Wiley & Sons Inc Measurement Mania Games and Activities That Make
Book SynopsisA companion to "Fabulous Fractions, Measurement Mania" which teaches children the basics of five forms of measurement - length, volume, weight, temperature, and time - and two systems of measurement - the old imperial systems and today's metric system.Table of ContentsTHE MAGIC OF MEASUREMENT. MEASURING LENGTH AND DISTANCE IN ENGLISH AND METRIC UNITS. Feet First! Hands Up. Body Parts. Jump Start. A Simple Ruler. A Tall Order. The Magnificent Mile. Area Mosaic. Optical Illusions. Room Redocorating. Conversion Cards. Metric Measuring Tape. Little Dolls, Real People. Neighborhood Distances. Kilometer Vacations. Dancing Decimal Points. Metric-English Frenzy. MEASURING VOLUME IN ENGLISH AND METRIC UNITS. Spoons Abound. Measuring Cup. When Is a Cup Not a Cup? A Square Cup. It's a Party. Volume Addition. Measuring Milliliters. Create a Liter Cube. The Price Is Right. MEASURING WEIGHT IN ENGLISH AND METRIC UNITS. Outer Space. One Ounce. One Pound. Estimating Weights. Guess and Weigh. One Ton. Grams and Milligrams. MEASURING TEMPERATURE IN DEGREES FAHRENHEIT AND CELSIUS. Water, Water Everywhere. What's the Temperature? MEASURING TIME. Ten Times! Candle Hour Power. Create a Sundial. Clock Search. All Over the United States. Measurement Master Certificate. Index.
£11.69
John Wiley & Sons Inc Applied Statistics
Book SynopsisThis work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student. * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions. * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout. * Includes both graded and challenging exercises. * Liberal computer discussions now supplemented with SAS and SPSS.Trade Review"…beginning level graduate students in statistics will find this book very valuable." (Journal of Statistical Computation and Simulation, January 2006) "…Overall this is an excellent book…I recommend this book to everyone…" (Statistical Methods in Medical Research, Vol. 14, 2005) "…The book is an excellent material for describing the data as well as a useful textbook for students to understand, apply and to interpret the statistical methods." (Zentralbaltt MATH, May 2005) "…it contains a wealth of useful up-to-date information and examples from the health sciences." (Technometrics, November 2004) "The level of the book is also more consistently intermediate...a few more advanced topics are now excluded." (The American Statistician, August 2004)Table of ContentsPreface. 1. Data Screening. Problems. References. 2. One-Way Analysis of Variance Design. Problems. References. 3. Estimation and Simultaneous Inference. Problems. References. 4. Hierarchical or Nested Design. Problems. References. 5. Two Crossed Factors: Fixed Effects and Equal Sample Sizes. Problems. References. 6 Randomized Complete Block Design. Problems. References. 7. Two Crossed Factors: Fixed Effects and Unequal Sample Sizes. Problems. References. 8. Crossed Factors: Mixed Models. Problems. References. 9. Repeated Measures Designs. Problems. References. 10. Linear Regression: Fixed X Model. Problems. References. 11. Linear Regression: Random X Model and Correlation. Problem. References. 12. Multiple Regression. Problems. References. 13. Multiple and Partial Correlation. Problems. References. 14. Miscellaneous Topics in Regression. Problems. References. 15. Analysis of Covariance. Problems. References. 16. Summaries, Extensions, and Communication. References. Appendix A. Appendix B. Index.
£136.76
John Wiley & Sons Inc Functional Analysis An Introduction to Banach
Book SynopsisA powerful introduction to one of the most active areas of theoretical and applied mathematics This distinctive introduction to one of the most far-reaching and beautiful areas of mathematics focuses on Banach spaces as the milieu in which most of the fundamental concepts are presented.Trade Review"This textbook for a two-semester course in functional analysis presents the basic ideas, techniques, and methods that form the underpinnings of the discipline." (SciTech Book News, Vol. 25, No. 3, September 2001) "...a useful book which helps the student to understand Banach space theory." (Mathematical Reviews, 2003a)Table of ContentsPreface. Introduction. Basic Definitions and Examples. Basic Principles with Applications. Weak Topologies and Applications. Operators on Banach Spaces. Bases in Banach Spaces. Sequences, Series, and a Little Geometry in Banach Spaces. Bibliography. Author/Name Index. Subject Index Symbol Index.
£155.66
John Wiley & Sons Inc Fitting Equations to Data
Book SynopsisThis revised and updated volume describes methods fundamental to the theory and explanation of data analysis. This edition includes extensions and devices such as component and component-plus residual plots, cross-verification with a second sample and an index of required x-precision.Trade Review"...a grand historical document for industrial statistics in its glory days, as its selection for the Classics Library implies." --Technometrics Vol. 42, No. 4 May 2001 This book provides an excellent insight into the minds of two master craftsmen at work. I very much applaud the decision to include this in a "classics library" and would encourage more authors to produce statistics books in the same vein, i.e. focused on the practical application of the subject rather than methodology development. Anyone involved in the analysis of unbalanced multifactor dtaa will find this book an extremely useful source of practical advice. --The Statistician 50 (1) 2001.Table of ContentsAssumptions and Methods of Fitting Equations. One Independent Variable. Two or More Independent Variables. Fitting an Equation in Three Independent Variables. Selection of Independent Variables. Some Consequences of the Disposition of the Data Points. Selection of Variables in Nested Data. Nonlinear Least Squares, a Complex Example. Glossary. User's Manual. Bibliography. Index.
£124.15
John Wiley & Sons Inc Vector Integration 48 Pure and Applied
Book SynopsisA breakthrough approach to the theory and applications of stochastic integration The theory of stochastic integration has become an intensely studied topic in recent years, owing to its extraordinarily successful application to financial mathematics, stochastic differential equations, and more.Trade Review"...an important tool...gives the newest results in this field...shows an important application of vector integration..." (Bulletin of the Belgian Mathematical Society, Vol 11(1), 2004) "...it can be expected that...just like the author's 1967 volume, this book will stimulate further research on vector stochastic integration and can serve as a graduate-level reference work." (Mathematical Reviews Issue 2001h) "Dense, detailed, comprehensive introduction. Contains...material only found before in journals..." (American Mathematical Monthly, March 2002) "...a highly technical book." (The Mathematical Gazette, March 2002) "The author of this important and interesting book is a well-known specialist on vector measures." (Zentralblatt Math, Vol.974, No. 24 2001)Table of ContentsVector Integration. The Stochastic Integral. Martingales. Processes with Finite Variation. Processes with Finite Semivariation. The Itô Formula. Stochastic Integration in the Plane. Two-Parameter Martingales. Two-Parameter Processes with Finite Variation. Two-Parameter Processes with Finite Semivariation. References.
£170.06
John Wiley & Sons Inc A Casebook for Business Statistics
Book SynopsisThe book entitled, A Casebook for Business Statistics: Laboratories for Decision Making, is a unique supplement for basic business statistics textbooks and provides (1) cases/labs at the introductory level; (2) integrated material for a cross-disciplinary curriculum; and (3) data sets containing recent and real data in a business setting. In addition, this book uses the perspective of recent reforms in statistics education and includes both guided and open-ended questions to emphasize: conceptual understanding; interactive data analysis; and discussion of interpretation of analysis. The laboratory exercises, which cover topics ranging from descriptive analysis to forecasting, were written to build in difficulty and complexity sequentially as the student progresses through the casebook. This casebook includes seventeen cases, all based on real data, from the Statistics, Finance and Marketing disciplines. Each case offers Excel and Minitab as tools in analyzing problems in theTable of ContentsDecisions in New Product Development (A) Decisions in New Product Development (B) Risk and Return in World Markets Decisions in New Product Development (C) Decisions in New Product Development (D) Relationship between Market Returns and Interest Rates Break-Even Time for New Products Mutual Fund Flows (A) Baseball Stadium Age and Attendance Mutual Fund Flows (B) Mutual Fund Flows (C) Sales in a Seasonal Industry Boston Sunday Globe (A) Boston Sunday Globe (B) Boston Sunday Globe (C) Motor Vehicle Fatalities Quarterly Sales at Home Depot
£70.25
John Wiley & Sons Inc Positive Linear Theory and Applications 50 Pure
Book SynopsisThis volume introduces the reader to the world of positive linear systems, an important and fascinating class of linear systems. The subject matter is divided into three parts, including definitions and basic properties of liner systems, theoretical results, and the study of some classes of positive linear systems relevant in applications.Trade Review"Explores a class of linear dynamical systems called positivelinear systems whose state variables take only non-negativevalues." (SciTech Book News,Vol. 24, No. 4, December 2000) "The exposition of the topics is consistent and clear. The book isaddressed to graduate students, scientists and engineers incontrol." (Mathematical Reviews, Issue 2001g) "This book gives an interesting overview of results regardingsingle-input single-output, time-invariant, finite-dimensionallinear poitive systems." (Mathematical Reviews, 2001g:93001) "There are lots of things to like about this book. In particular, Iliked the appendix on element so f linear systems theory.... Thenthere is the clear enthusiasm of the authors for thesubject...useful for self study or as a supplement in a moreadvanced course..." (SIAM Review, Vol. 43, No. 3) "Very well-written and well-organized suitable for students whohave had a first course in differential equations." (AmericanMathematical Monthly, January 2002) "...the authors really succeed in conveying their enthusiasm andthe flavor of the subject..." (Zentralblatt Math, Vol.988, No.13,2002)Table of ContentsDEFINITIONS. Definitions and Conditions of Positivity. Influence Graphs. Irreducibility, Excitability and Transparency. PROPERTIES. Stability. Spectral Characterization of Irreducible Systems. Positivity of Equilibria. Reachability and Observability. Realization. Minimum Phase. Interconnected Systems. APPLICATIONS. Input-Output Analysis. Age-Structured Population Models. Markov Chains. Compartmental Systems. Queueing Systems. Conclusions. Annotated Bibliography. Bibliography. Appendices. Index.
£153.85
John Wiley & Sons Inc Methods Optimization Combining Optimization and
Book SynopsisExamining the role of logic in optimization as the theme for integration, this volume is designed for courses in optimization, in particular discrete optimization. Much of the emphasis is placed on corporate tools and techniques, including a wide range of programming options.Trade Review"This is a book that should be widely read by graduate students and researchers in both the computer science and optimization communities." (Choice, Vol. 38, No. 7, March 2001) "Goal is to broaden the conceptual foundations of optimization to include logical and constraint based approaches to traditional optimization methods." (American Mathematical Monthly, November 2001) "The author combines a low-key, often conversational presentation with enthusiasm for a synthesis with traditional optimization methods..." (SIAM Review, Vol. 43, No. 4) "The book is for practitioners as well as theorists" (Zentralblatt Math, Vol.974, No.24, 2001)Table of ContentsSome Examples. The Logic of Propositions. The Logic of Discrete Variables. The Logic of 0-1 Inequalities. Cardinality Clauses. Classical Boolean Methods. Logic-Based Modeling. Logic-Based Branch and Bound. Constraint Generation. Domain Reduction. Constraint Programming. Continuous Relaxations. Decomposition Methods. Branching Rules. Relaxation Duality. Inference Duality. Search Strategies. Logic-Based Benders Decomposition. Nonserial Dynamic Programming. Discrete Relaxations. References. Index.
£167.36
John Wiley & Sons Inc CrossCultural Survey Methods
Book SynopsisPRACTICAL METHODOLOGIES FOR CROSS-CULTURAL RESEARCH Since all research is in a sense comparative, it is sometimes argued that methods and requirements remain the same, no matter what country or nationality is involved. The editors of this volume contend that this philosophy is an oversimplification.Trade Review"…there is a need for more efforts at cross-cultural and cross-national survey research. The diverse efforts of the participants in the conference as represented in this book…could serve as a stimulus for such research." (Journal of the American Statistical Association, September 2004) "If you like reading books about statistical science and its application to modern society, here is a book that you might consider." (Technometrics, Vol. 45, No. 2, May 2003) "...a useful addition to a comparative researcher's library...recommended..." (Choice, Vol. 40, No. 9, May 2003)Table of ContentsContributors. Preface. PART I: INTRODUCTION. Comparative Research (J. Harkness, et al.). PART II: DESIGN AND IMPLEMENTATION. Questionnaire Design in Comparative Research (J. Harkness, et al.). Questionnaire Translation (J. Harkness). Communication and Social Cognition (M. Braun). Developing Comparable Questions in Cross-National Surveys (T. Smith). Culture-Sensitive Context Effects: A Challenge for Cross-Cultural Surveys (N. Schwarz). Background Variables (M. Braun & P. Mohler). Sampling and Estimation (S. Hader & S. Gabler). PART III: ERROR AND COMPARATIVE SURVEYS. Errors in Comparative Survey Research: An Overview (M. Braun). Bias and Equivalence: Cross-Cultural Perspectives (F. Van de Vijver). Nonresponse in Cross-Cultural and Cross-National Surveys (M. Couper & E. de Leeuw). Data Collection Methods (K. Skj?k & J. Harkness). Social Desirability in Cross-Cultural Research (T. Johnson & F. Van de Vijver). PART IV: ANALYSIS OF COMPARATIVE DATA. Bias and Substantive Analyses (F. Van de Vijver). Multidimensional Scaling (J. Fontaine). Cross-Cultural Equivalence with Structural Equation Modeling (J. Billiet). Multitrait - Multimethod Studies (W. Saris). Response Function Equality (W. Saris). PART V: DOCUMENTATION AND SECONDARY ANALYSIS. Using Published Survey Data (J. van Deth). Documenting Comparative Surveys for Secondary Analysis (P. Mohler & R. Uher). The Use of Meta-Analysis in Cross-National Studies (E. de Leeuw & J. Hox). Glossary (T. Johnson). References. Author Index. Subject Index.
£132.26
John Wiley & Sons Inc Applied Spatial Statistics for Public Health Data
Book SynopsisWhile mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a growth, thanks in part to the development of geographical information systems (GIS's).Trade Review"…a fine textbook for a course on spatial statistics…easy to follow and agreeable to read…an excellent introduction and overview…" (Statistics in Medical Research, August 2006) "...will be a successful addition to existing literature and foster the application of spatial statistical methods to topics in epidemiology and public health." (Biometrics, December 2005) "…an interesting and worthwhile read for all practitioners of spatial statistics." (Computers & Geosciences, July 2005) "…I am pleased to add it to my collection and feel sure that it will be widely read and appreciated." (Journal of the American Statistical Association, June 2005)Table of ContentsPreface. Acknowledgments. 1. Introduction. 2. Analyzing Public Health Data. 3. Spatial Data. 4. Visualizing Spatial Data. 5. Analysis of Spatial Point Patterns. 6. Spatial Clusters of Health Events: Point Data for Cases and Controls. 7. Spatial Clustering of Health Events: Regional Count Data. 8. Spatial Exposure Data. 9. Linking Spatial Exposure Data to Health Events. References. Author Index. Subject Index.
£135.85
John Wiley & Sons Inc Experiments With Mixtures 3E Designs Models and
Book SynopsisWith this comprehensive book, readers will learn how to design and set up mixture experiments and then analyze the data and draw inferences from the results. The third edition incorporates in-depth information from over 73 articles, covering the developments of the past decade.Trade Review"...an excellent book...lively andauthoritative...very readable" (Statistical Methods inMedical Research, No.13, 2004) "Presents response surface methods for analyzing data frommixture experiments." (SciTech Book News, Vol. 26, No. 2,June 2002) "No one should work with mixtures experiments of any complexitywithout a copy of this book." (Technometrics, Vol. 44, No.3, August 2002) "...a significant improvement since the first edition, andincludes the work since the second edition...well-written, and theauthor makes every possible effort to provide a betterunderstanding and appreciation of the techniques employed inexperiments with mixtures." (Mathematical Reviews,2003a) "...contains interesting new materials on designs and softwareand incorporates novel results that were derived in the 10intervening years since the second edition..." (Journal of theAmerican Statistical Association, March 2003) "...an authoritative and comprehensive text on the design andstatistical analysis of mixture experiments...substantiallyrevised...the book should be a part of a research library."(Journal of Mathematical Psychology, Vol. 47, 2003)Table of ContentsPreface to the Third Edition. Preface to the Second Edition. Introduction. The Original Mixture Problem: Designs and Models for Exploring theEntire Simplex Factor Space. The Use of Independent Variables. Multiple Constraints on the Component Proportions. The Analysis of Mixture Data. Other Mixture Model Forms. The Inclusion of Process Variables in Mixture Experiments. Additional Topics. Matrix Algebra, Least Squares, and the Analysis of Variance. Data Sets from Mixture Experiments with Partial Solutions. Bibliography and Index of Authors. Answers to Selected Questions. Appendix. Index.
£149.35
John Wiley & Sons Inc Statistical Methods for the Analysis of
Book SynopsisIncludes a chapter on multiple linear regression in biomedical research, with sections containing the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.Trade Review"…useful in a course in biostatistics." (Journal of Statistical Computation and Simulation, September 2005) "...a nice overview of statistical topics...an excellent book to have...highly recommend this book for students and researchers..." (Statistical Methods in Medical Research, Vol 13, 2004) "…interesting and useful…I recommend it as an addition to your statistical library, and if you already own the first edition, it would be worthwhile to update it." (The American Statistician, Vol. 58, No. 2, May 2004)Table of ContentsDedication v Preface to the 1987 Edition xvii Preface to the 2002 Edition xxi Acknowledgment xxiii 1 Introduction 1 2 Descriptive Statistics 9 3 Basic Probability Concepts 49 4 Further Aspects of Probability 79 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications 119 6 Comparison of Two Groups: t-Tests and Rank Tests Introduction 151 7 Comparison of Two Groups: Chi-Square and Related Procedures 217 8 Tests of Independence and Measures of Association for Two Random Variables 263 9 Least-Squares Regression Methods: Predicting One Variable from Another 307 10 Comparing More than Two Groups Observations: Analysis of Variance for Comparing Groups 359 11 Comparing More than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons 417 12 Comparing More than Two Groups of Observations: Chi-Square and Related Procedures 441 13 Special Topics in Analysis of Epidemiologic and Clinical Data: Studying Association between a Disease and a Characteristic 461 14 Estimation and Comparison of Survival Curves 509 15 Multiple Linear Regression Methods: Predicting One Variable from Two or More Other Variables 541 Appendix 623 Topic Index 673
£154.76
John Wiley & Sons Inc Prediction Theory 379 Wiley Series in Probability
Book SynopsisThis text provides a mathematical foundation for prediction theory and time series analysis using the geometry of Hilbert spaces. Emphasis is on foundation and structure, supported by theory, application and exercises to provide reinforcement and to extend discussions.Trade Review"...provides a foundation for times series analysis and predictiontheory for researchers and advanced students..." (SciTech BookNews, Vol. 25, No. 4, December 2001) "...can be recommended as an excellent textbook (one of the bestwhich I have seen)." (Mathematical Reviews, 2002f) "...an excellent introduction to the remarkable developmentsduring the 20th century in the theory of time series analysis."(Journal of the American Statistical Association, December2002)Table of ContentsPreface. Acknowledgements. Acronyms. Introduction. Time Series Analysis: One Long Series. Time Series Analysis: Many Short Series. Stationary ARMA Models. Stationary Processes. Parameterization and Prediction. Finite Prediction and Partial Correlations. Missing Values: Past and Future. Stationary Sequences in Hilbert Spaces. Stationarity and Hardy Spaces. Appendix A: Multivariate Distributions. Appendix B: The Bayesian Forecasting. References. Index. Author Index.
£152.06
John Wiley & Sons Inc SAS Forecasting 2e
Book SynopsisWritten in an easy-to-read style, this comprehensive book shows how the SAS System performs multivariate time series analysis, covering the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA.Trade Review"The new material and the update of the excellent 1E, now 17 years in the past, certainly make the 2E a necessary purchase for any user of SAS time series modeling methods." Technometrics Vol. 46, No. 1, February 2004Table of ContentsChapter 1- Overview of Time Series. Chapter 2- Simple Models: Autoregression. Chapter 3- The General ARIMA Model. Chapter 4- The ARIMA Model: Introductory Applications. Chapter 5- The ARIMA Model: Special Applications. Chapter 6- State Space Modeling. Chapter 7- Spectral Analysis.
£95.36
John Wiley & Sons Inc The Subjectivity of Scientists and the Bayesian
Book SynopsisThis book illustrates scientific methodology through descriptions of how actual scientists create science. The authors present a novel point of view, arguing that the popular perception of science as being strictly objective is untrue and that knowledge is often acquired through very personal means.Trade Review"Press and Tanur argue that subjectivity has not only played a significant role in the advancement of science, but that science will advance more rapidly if the modern methods of Bayesian statistical analysis replace some of the more classical twentieth-century methods." (SciTech Book News, Vol. 25, No. 3, September 2001) "An insightful work." (Choice, Vol. 39, No. 4, December 2001) "compilation of interesting and popular problems" (Short Book Reviews - Publication of the Int. Statistical Institute, December 2001) "...this book is fascinating." (Short Book Reviews, Vol. 21, No. 3, December 2001) "...highlight the role of subjectivity in science by describing the life and works of 17 scientists." (Zentralblatt MATH, Vol. 973, 2001/23)Table of ContentsPrefaceix 1. Introduction 1 2. Selecting the Scientists 17 3. Some Well Known Stories of Extreme Subjectivity 23 3.1 Introduction 23 3.2 Johannes Kepler 23 3.3 Gregor Mendel 26 3.4 Robert Millikan 34 3.5 Cyril Burt 37 3.6 Margaret Mead 43 4. Stories of Famous Scientists 49 4.1 Introduction 49 4.2 Aristotle 51 4.3 Galileo Galilei 60 4.4 William Harvey 71 4.5 Sir Isaac Newton 81 4.6 Antoine Lavoisier 95 4.7 Alexander von Humboldt 110 4.8 Michael Faraday 121 4.9 Charles Darwin 128 4.10 Louis Pasleur 143 4.11 Sigmund Freud 156 4.12 Marie Curie 166 4.13 Albert Einstein 177 4.14 Same Conjecrures About the Scientists 189 5. Subjectivity .in Science in Modern Times: The Bayesian Approach199 Appendix: References by Field of Application for Bayesian Statistical Science225 Bibliography 231 Subject Index 249 Name Index 267
£124.15
Wiley Applied Stochastic Processes 3e 378 Wiley Series
Book SynopsisThis third edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organizing it into a more teachable format. With more in-depth coverage of Markov chains and simple Markov process, the authors provide added emphasis to statistical inference in stochastic processes.Trade Review"…provides excellent coverage of the basic topics…Bhat and Miller have provided an excellent text and reference book.” (Interfaces, July/ August 2004) "...an extended and well-written introduction to the theory...of stochastic processes and their applications..." (Zentralblatt Math, Vol. 1024, 2004) "...besides conveying the concepts of stochastic processes, this book succeeds in providing insight into the reasons why for a particular topic certain lines of investigation are pursued and why certain variables/functions are introduced." (Technometrics, Vol. 45, No. 3, August 2003)Table of ContentsPreface. Stochastic Processes: Description and Definition. Markov chains. Irreducible Markov Chains with Ergodic States. Branching Processes and Other Special Topics. Statistical Inference for Markov Chains. Applied Markov Chains. Simple Markov Processes. Statistical Inference for Simple Markov Processes. Applied Markov Processes. Renewal Processes. Stationary Processes and Time Series Analysis. Simulation and Markov Chain Monte Carlo. Answers to Selected Exercises. Appendix. Author Index. Subject Index.
£149.35
John Wiley & Sons Inc Linear Regression Analysis 2e 330 Wiley Series in
Book SynopsisRequiring no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight line regression and simple analysis of variance models, this work covers the diagnostics and methods of model fitting.Trade Review"With excellent motivating and presenting style, this book is suitable for a beginning graduate level regression course." (Journal of Statistical Computation and Simulation, July 2005) "...revises and expands the standard text, providing extensive coverage of state-of-the-art theory..." (Zentralblatt Math, Vol. 1029, 2004) "...largely rewritten...very useful for self-study...an excellent choice for a course in linear models and researchers who are interested in recent literature in the fields..." (Technometrics, Vol. 45, No. 4, November 2003) “...rewritten to reflect current thinking, such as the major advances in computing during the past 25 years.” (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)Table of ContentsPreface. Vectors of Random Variables. Multivariate Normal Distribution. Linear Regression: Estimation and Distribution Theory. Hypothesis Testing. Confidence Intervals and Regions. Straight-Line Regression. Polynomial Regression. Analysis of Variance. Departures from Underlying Assumptions. Departures from Assumptions: Diagnosis and Remedies. Computational Algorithms for Fitting a Regression. Prediction and Model Selection. Appendix A. Some Matrix Algebra. Appendix B. Orthogonal Projections. Appendix C. Tables. Outline Solutions to Selected Exercises. References. Index.
£141.26
John Wiley & Sons Inc Data Engineering Fuzzy Mathematics in Systems
Book SynopsisThere are many situations in science and engineering where complex output data from a given system is used to formulate a model of how that system operates, or to simulate its response to different inputs. Applications include control, decision theory, and the emerging fields of bioinformatics.Trade Review"To cope with real world uncertainties and provide a philosophical and practical guide...several methodologies are presented..." (SciTech Book News, Vol. 25, No. 4, December 2001) "...certainly a book that should be in the library of any institution where research and advanced study in fuzzy systems are carried out." (Choice, Vol. 39, No. 7, March 2002) "...well organized, easy to read, and self-contained.... I would recommend it to anyone interested in self-study of the basic ideas of fuzzy systems..." (International Journal of General Systems, Vol. 31, No. 6, 2002)Table of ContentsPreface. Acknowledgments. Introduction. System Analysis. Uncertainty Techniques. Learning from Data: System Identification. Propositions as Subsets of the Data Space. Fuzzy Systems and Identification. Random-Set Modelling and Identification. Certain Uncertainty. Fuzzy Inference Engines. Fuzzy Classification. Fuzzy Control. Fuzzy Mathematics. Summary. Appendices. Index.
£131.35
John Wiley & Sons Inc Modern Advanced Mathematics for Engineers
Book SynopsisMost disciplines in electrical and computer engineering require a working knowledge of relatively sophisticated mathematical concepts. This book presents those mathematical concepts and methods essential for professionals and students working in electrical or computer engineering.Trade Review"The appearance of the book is pleasing and it readswell..." (The Mathematical Gazette, Nov 2002) "From the preface: 'This book is written with the aim ofproviding students with a strong foundation in modern appliedmathematics.'" (Mathematical Reviews, 2001 I) "...a useful account of basic ideas." (Mathematika,No.48, 2001) "One should be grateful to the authors for having done a goodjob" (Zentrablatt Math, Vol.979, No.04, 2002) "...textbook for a one-semester graduate course providingengineering students with a foundation in modern appliedmathematics." (SciTech Book News, Vol. 26, No. 2, June2002)Table of ContentsDedication. Preface. The Basic of Set Theory. Relations and Mappings. Mathematical Logic. Algebraic Structures: Group Through Linear Space. Linear Mappings and Matrices. Metrics and Topological Properties. Banach and Hilbert Spaces. Orthonormal Bases and Fourier Series. Operator Equations. Fourier and Laplace Transforms. Partial Differential Equations. Topic Index.
£145.76
John Wiley & Sons Inc An Introduction to Metric Spaces and Fixed Point
Book SynopsisThis book provides an excellent introduction to the subject designed for readers from a variety of mathematical backgrounds. It features introductory properties of metric spaces and Banach spaces, and an appendix contains a summary of the concepts of set theory.Trade Review"...deserves to be on the bookshelf of everyone who wants to know about fixed-point theory in metric and Banach spaces and experts who want to read an insightful survey of some basic ideas..." (Mathematical Reviews, 2002b) "Clear, friendly exposition." (American Mathematical Monthly, August/September 2002)Table of ContentsPreface ix I Metric Spaces 1 Introduction 3 1.1 The real numbers R 3 1.2 Continuous mappings in R 5 1.3 The triangle inequality in R 7 1.4 The triangle inequality in R" 8 1.5 Brouwer's Fixed Point Theorem 10 Exercises 11 2 Metric Spaces 13 2.1 The metric topology 15 2.2 Examples of metric spaces 19 2.3 Completeness 26 2.4 Separability and connectedness 33 2.5 Metric convexity and convexity structures 35 Exercises 38 3 Metric Contraction Principles 41 3.1 Banach's Contraction Principle 41 3.2 Further extensions of Banach's Principle 46 3.3 The Caristi-Ekeland Principle 55 3.4 Equivalents of the Caristi-Ekeland Principle 58 3.5 Set-valued contractions 61 3.6 Generalized contractions 64 Exercises 67 4 Hyperconvex Spaces 71 4.1 Introduction 71 4.2 Hyperconvexity 77 4.3 Properties of hyperconvex spaces 80 4.4 A fixed point theorem 84 4.5 Intersections of hyperconvex spaces 87 4.6 Approximate fixed points 89 4.7 Isbell's hyperconvex hull 91 Exercises 98 5 "Normal" Structures in Metric Spaces 101 5.1 A fixed point theorem 101 5.2 Structure of the fixed point set 103 5.3 Uniform normal structure 106 5.4 Uniform relative normal structure 110 5.5 Quasi-normal structure 112 5.6 Stability and normal structure 115 5.7 Ultrametric spaces 116 5.8 Fixed point set structure—separable case 120 Exercises 123 II Banach Spaces 6 Banach Spaces: Introduction 127 6.1 The definition 127 6.2 Convexity 131 6.3 £2 revisited 132 6.4 The modulus of convexity 136 6.5 Uniform convexity of the tp spaces 138 6.6 The dual space: Hahn-Banach Theorem 142 6.7 The weak and weak* topologies 144 6.8 The spaces c, CQ, t\ and ^ 146 6.9 Some more general facts 148 6.10 The Schur property and £j 150 6.11 More on Schauder bases in Banach spaces 154 6.12 Uniform convexity and reflexivity 163 6.13 Banach lattices 165 Exercises 168 7 Continuous Mappings in Banach Spaces 171 7.1 Introduction 171 7.2 Brouwer's Theorem 173 7.3 Further comments on Brouwer's Theorem 176 7.4 Schauder's Theorem 179 7.5 Stability of Schauder's Theorem 180 7.6 Banach algebras: Stone Weierstrass Theorem 182 7.7 Leray-Schauder degree 183 7.8 Condensing mappings 187 7.9 Continuous mappings in hyperconvex spaces 191 Exercises 195 8 Metric Fixed Point Theory 197 8.1 Contraction mappings 197 8.2 Basic theorems for nonexpansive mappings 199 8.3 A closer look at ßë 205 8.4 Stability results in arbitrary spaces 207 8.5 The Goebel-Karlovitz Lemma 211 8.6 Orthogonal convexity 213 8.7 Structure of the fixed point set 215 8.8 Asymptotically regular mappings 219 8.9 Set-valued mappings 222 8.10 Fixed point theory in Banach lattices 225 Exercises 238 9 Banach Space Ultrapowers 243 9.1 Finite representability 243 9.2 Convergence of ultranets 248 9.3 The Banach space ultrapower X 249 9.4 Some properties of X 252 9.5 Extending mappings to X 255 9.6 Some fixed point theorems 257 9.7 Asymptotically nonexpansive mappings 262 9.8 The demiclosedness principle 263 9.9 Uniformly non-creasy spaces 264 Exercises 270 Appendix: Set Theory 273 A.l Mappings 273 A.2 Order relations and Zermelo's Theorem 274 A.3 Zorn's Lemma and the Axiom Of Choice 275 A.4 Nets and subnets 277 A.5 Tychonoff's Theorem 278 A.6 Cardinal numbers 280 A. 7 Ordinal numbers and transfinite induction 281 A.8 Zermelo's Fixed Point Theorem 284 A.9 A remark about constructive mathematics 286 Exercises 287 Bibliography 289 Index 301
£157.45
John Wiley & Sons Inc Wavelets in Electromagnetics and Device Modeling
Book SynopsisDiscusses techniques that have important applications to wireless engineering.Table of ContentsPreface xv 1 Notations and Mathematical Preliminaries 1 1.1 Notations and Abbreviations 1 1.2 Mathematical Preliminaries 2 1.2.1 Functions and Integration 2 1.2.2 The Fourier Transform 4 1.2.3 Regularity 4 1.2.4 Linear Spaces 7 1.2.5 Functional Spaces 8 1.2.6 Sobolev Spaces 10 1.2.7 Bases in Hilbert Space H 11 1.2.8 Linear Operators 12 Bibliography 14 2 Intuitive Introduction to Wavelets 15 2.1 Technical History and Background 15 2.1.1 Historical Development 15 2.1.2 When Do Wavelets Work? 16 2.1.3 A Wave Is a Wave but What Is a Wavelet? 17 2.2 What Can Wavelets Do in Electromagnetics and Device Modeling? 18 2.2.1 Potential Benefits of Using Wavelets 18 2.2.2 Limitations and Future Direction of Wavelets 19 2.3 The Haar Wavelets and Multiresolution Analysis 20 2.4 How Do Wavelets Work? 23 Bibliography 28 3 Basic Orthogonal Wavelet Theory 30 3.1 Multiresolution Analysis 30 3.2 Construction of Scalets 3.2.1 Franklin Scalet 32 3.2.2 Battle-Lemarie Scalets 39 3.2.3 Preliminary Properties of Scalets 40 3.3 Wavelet ^ ( r ) 42 3.4 Franklin Wavelet 48 3.5 Properties of Scalets (p(co) 51 3.6 Daubechies Wavelets 56 3.7 Coifman Wavelets (Coiflets) 64 3.8 Constructing Wavelets by Recursion and Iteration 69 3.8.1 Construction of Scalets 69 3.8.2 Construction of Wavelets 74 3.9 Meyer Wavelets 75 3.9.1 Basic Properties of Meyer Wavelets 75 3.9.2 Meyer Wavelet Family 83 3.9.3 Other Examples of Meyer Wavelets 92 3.10 Mallat's Decomposition and Reconstruction 92 3.10.1 Reconstruction 92 3.10.2 Decomposition 93 3.11 Problems 95 3.11.1 Exercise 1 95 3.11.2 Exercise 2 95 3.11.3 Exercise 3 97 3.11.4 Exercise 4 97 Bibliography 98 4 Wavelets in Boundary Integral Equations 100 4.1 Wavelets in Electromagnetics 100 4.2 Linear Operators 102 4.3 Method of Moments (MoM) 103 4.4 Functional Expansion of a Given Function 107 4.5 Operator Expansion: Nonstandard Form 110 4.5.1 Operator Expansion in Haar Wavelets 111 4.5.2 Operator Expansion in General Wavelet Systems 113 4.5.3 Numerical Example 114 4.6 Periodic Wavelets 120 4.6.1 Construction of Periodic Wavelets 120 4.6.2 Properties of Periodic Wavelets 123 4.6.3 Expansion of a Function in Periodic Wavelets 127 4.7 Application of Periodic Wavelets: 2D Scattering 128 4.8 Fast Wavelet Transform (FWT) 133 4.8.1 Discretization of Operation Equations 133 4.8.2 Fast Algorithm 134 4.8.3 Matrix Sparsification Using FWT 135 4.9 Applications of the FWT 140 4.9.1 Formulation 140 4.9.2 Circuit Parameters 141 4.9.3 Integral Equations and Wavelet Expansion 143 4.9.4 Numerical Results 144 4.10 Intervallic Coifman Wavelets 144 4.10.1 Intervallic Scalets 145 4.10.2 Intervallic Wavelets on [0, 1] 154 4.11 Lifting Scheme and Lazy Wavelets 156 4.11.1 Lazy Wavelets 156 4.11.2 Lifting Scheme Algorithm 157 4.11.3 Cascade Algorithm 159 4.12 Green's Scalets and Sampling Series 159 4.12.1 Ordinary Differential Equations (ODEs) 160 4.12.2 Partial Differential Equations (PDEs) 166 4.13 Appendix: Derivation of Intervallic Wavelets on [0, 1] 172 4.14 Problems 185 4.14.1 Exercise 5 185 4.14.2 Exercise 6 185 4.14.3 Exercise 7 185 4.14.4 Exercise 8 186 4.14.5 Project 1 187 Bibliography 187 5 Sampling Biorthogonal Time Domain Method (SBTD) 189 5.1 Basis FDTD Formulation 189 5.2 Stability Analysis for the FDTD 194 5.3 FDTD as Maxwell's Equations with Haar Expansion 198 5.4 FDTD with Battle-Lemarie Wavelets 201 5.5 Positive Sampling and Biorthogonal Testing Functions 205 5.6 Sampling Biorthogonal Time Domain Method 215 5.6.1 SBTD versus MRTD 215 5.6.2 Formulation 215 5.7 Stability Conditions for Wavelet-Based Methods 219 5.7.1 Dispersion Relation and Stability Analysis 219 5.7.2 Stability Analysis for the SBTD 222 5.8 Convergence Analysis and Numerical Dispersion 223 5.8.1 Numerical Dispersion 223 5.8.2 Convergence Analysis 225 5.9 Numerical Examples 228 5.10 Appendix: Operator Form of the MRTD 233 5.11 Problems 236 5.11.1 Exercise 9 236 5.11.2 Exercise 10 237 5.11.3 Project 2 237 Bibliography 238 6 Canonical Multiwavelets 240 6.1 Vector-Matrix Dilation Equation 240 6.2 Time Domain Approach 242 6.3 Construction of Multiscalets 245 6.4 Orthogonal Multiwavelets yjr(t) 255 6.5 Intervallic Multiwavelets xj/(t) 258 6.6 Multiwavelet Expansion 261 6.7 Intervallic Dual Multiwavelets \j/(t) 264 6.8 Working Examples 269 6.9 Multiscalet-Based ID Finite Element Method (FEM) 276 6.10 Multiscalet-Based Edge Element Method 280 6.11 Spurious Modes 285 6.12 Appendix 287 6.13 Problems 296 6.13.1 Exercise 11 296 Bibliography 297 7 Wavelets in Scattering and Radiation 299 7.1 Scattering from a 2D Groove 299 7.1.1 Method of Moments (MoM) Formulation 300 7.1.2 Coiflet-Based MoM 304 7.1.3 Bi-CGSTAB Algorithm 305 7.1.4 Numerical Results 305 7.2 2D and 3D Scattering Using Intervallic Coiflets 309 7.2.1 Intervallic Scalets on [0,1] 309 7.2.2 Expansion in Coifman Intervallic Wavelets 312 7.2.3 Numerical Integration and Error Estimate 313 7.2.4 Fast Construction of Impedance Matrix 317 7.2.5 Conducting Cylinders, TM Case 319 7.2.6 Conducting Cylinders with Thin Magnetic Coating 322 7.2.7 Perfect Electrically Conducting (PEC) Spheroids 324 7.3 Scattering and Radiation of Curved Thin Wires 329 7.3.1 Integral Equation for Curved Thin-Wire Scatterers and Antennae 330 7.3.2 Numerical Examples 331 7.4 Smooth Local Cosine (SLC) Method 340 7.4.1 Construction of Smooth Local Cosine Basis 341 7.4.2 Formulation of 2D Scattering Problems 344 7.4.3 SLC-Based Galerkin Procedure and Numerical Results 347 7.4.4 Application of the SLC to Thin-Wire Scatterers and Antennas 355 7.5 Microstrip Antenna Arrays 357 7.5.1 Impedance Matched Source 358 7.5.2 Far-Zone Fields and Antenna Patterns 360 Bibliography 363 8 Wavelets in Rough Surface Scattering 366 8.1 Scattering of EM Waves from Randomly Rough Surfaces 366 8.2 Generation of Random Surfaces 368 8.2.1 Autocorrelation Method 370 8.2.2 Spectral Domain Method 373 8.3 2D Rough Surface Scattering 376 8.3.1 Moment Method Formulation of 2D Scattering 376 8.3.2 Wavelet-Based Galerkin Method for 2D Scattering 380 8.3.3 Numerical Results of 2D Scattering 381 8.4 3D Rough Surface Scattering 387 8.4.1 Tapered Wave of Incidence 388 8.4.2 Formulation of 3D Rough Surface Scattering Using Wavelets 391 8.4.3 Numerical Results of 3D Scattering 394 Bibliography 399 9 Wavelets in Packaging, Interconnects, and EMC 401 9.1 Quasi-static Spatial Formulation 402 9.1.1 What Is Quasi-static? 402 9.1.2 Formulation 403 9.1.3 Orthogonal Wavelets in L2([0, 1]) 406 9.1.4 Boundary Element Method and Wavelet Expansion 408 9.1.5 Numerical Examples 412 9.2 Spatial Domain Layered Green's Functions 415 9.2.1 Formulation 417 9.2.2 Prony's Method 423 9.2.3 Implementation of the Coifman Wavelets 424 9.2.4 Numerical Examples 426 9.3 Skin-Effect Resistance and Total Inductance 429 9.3.1 Formulation 431 9.3.2 Moment Method Solution of Coupled Integral Equations 433 9.3.3 Circuit Parameter Extraction 435 9.3.4 Wavelet Implementation 437 9.3.5 Measurement and Simulation Results 438 9.4 Spectral Domain Green's Function-Based Full-Wave Analysis 440 9.4.1 Basic Formulation 440 9.4.2 Wavelet Expansion and Matrix Equation 444 9.4.3 Evaluation of Sommerfeld-Type Integrals 447 9.4.4 Numerical Results and Sparsity of Impedance Matrix 451 9.4.5 Further Improvements 455 9.5 Full-Wave Edge Element Method for 3D Lossy Structures 455 9.5.1 Formulation of Asymmetric Functionals with Truncation Conditions 456 9.5.2 Edge Element Procedure 460 9.5.3 Excess Capacitance and Inductance 464 9.5.4 Numerical Examples 466 Bibliography 469 10 Wavelets in Nonlinear Semiconductor Devices 474 10.1 Physical Models and Computational Efforts 474 10.2 An Interpolating Subdivision Scheme 476 10.3 The Sparse Point Representation (SPR) 478 10.4 Interpolation Wavelets in the FDM 479 10.4.1 ID Example of the SPR Application 480 10.4.2 2D Example of the SPR Application 481 10.5 The Drift-Diffusion Model 484 10.5.1 Scaling 486 10.5.2 Discretization 487 10.5.3 Transient Solution 489 10.5.4 Grid Adaptation and Interpolating Wavelets 490 10.5.5 Numerical Results 492 10.6 Multiwavelet Based Drift-Diffusion Model 498 10.6.1 Precision and Stability versus Reynolds 499 10.6.2 MWFEM-Based ID Simulation 502 10.7 The Boltzmann Transport Equation (BTE) Model 504 10.7.1 Why BTE? 505 10.7.2 Spherical Harmonic Expansion of the BTE 505 10.7.3 Arbitrary Order Expansion and Galerkin's Procedure 509 10.7.4 The Coupled Boltzmann-Poisson System 515 10.7.5 Numerical Results 517 Bibliography 524 Index 527
£177.26
John Wiley & Sons Inc Longitudinal Data Analysis
Book SynopsisThis text presents and describes methods for analysis of longitudinal data, with a strong emphasis on application of these methods to problems in the biomedical and behavioral sciences. Applied Longitudinal Data Analysis is geared more toward users, and not developers, of statistics.Trade Review"…a useful resource for students and mathematically inclined practitioners…I would not hesitate to recommend this book…" (Journal of the American Statistical Association, September 2007) "Comparing this book with…other books on this subject…this is certainly one of the foremost." (Journal of Biopharmaceutical Statistics, Vol. 17, Issue 3, 2007) "...this book represents a unique and important contribution to the field of psychology." (PsycCRITIQUES, March 14, 2007) "This innovative classroom-tested book is…highly recommended." (CHOICE, October 2006)Table of ContentsPreface. Acknowledgments. Acronyms. 1. Introduction. 1.1 Advantages of Longitudinal Studies. 1.2 Challenges of Longitudinal Data Analysis. 1.3 Some General Notation. 1.4 Data Layout. 1.5 Analysis Considerations. 1.6 General Approaches. 1.7 The Simplest Longitudinal Analysis. 1.8 Summary. 2. ANOVA Approaches to Longitudinal Data. 2.1Single-Sample Repeated Measures ANOVA. 2.2 Multiple-Sample Repeated Measures ANOVA. 2.3 Illustration. 2.4 Summary. 3. MANOVA Approaches to Longitudinal Data. 3.1 Data Layout for ANOVA versus MANOVA. 3.2 MANOVA for Repeated Measurements. 3.3 MANOVA of Repeated Measures-s Sample Case. 3.4 Illustration. 3.5 Summary. 4. Mixed-Effects Regression Models for Continuous Outcomes. 4.1 Introduction. 4.2 A Simple Linear Regression Model. 4.3 Random Intercept MRM. 4.4 Random Intercept and Trend MRM. 4.5 Matrix Formulation. 4.6 Estimation . 4.7 Summary. 5. Mixed-Effects Polynomial Regression Models. 5.1 Introduction. 5.2 Curvilinear Trend Model. 5.3 Orthogonal Polynomials. 5.4 Summary. 6. Covariance Pattern Models. 6.1 Introduction. 6.2 Covariance Pattern Models. 6.3 Model Selection. 6.4 Example. 6.5 Summary. 7. Mixed Regression Models with Autocorrelated Errors. 7.1 Introduction. 7.2 MRMs with AC Errors. 7.3 Model Selection. 7.4 Example. 7.5 Summary. 8. Generalized Estimating Equations (GEE) Models. 8.1 Introduction. 8.2 Generalized Linear Models (GLMs). 8.3 Generalized Estimating Equations (GEE) Models. 8.4 GEE Estimation. 8.5 Example. 8.6 Summary. 9. Mixed-Effects Regression Models for Binary Outcomes. 9.1 Introduction. 9.2 Logistic Regression Model. 9.3 Probit Regression Models. 9.4 Threshold Concept. 9.5 Mixed-Effects Logistic Regression Model. 9.6 Estimation. 9.7 Illustration. 9.8 Summary. 10. Mixed-Effects Regression Models for Ordinal Outcomes. 10.1 Introduction. 10.2 Mixed-Effects Proportional Odds Model. 10.3 Psychiatric Example. 10.4 Health Services Research Example. 10.5 Summary. 11. Mixed-Effects Regression Models for Nominal Data. 11.1 Mixed-Effects Multinomial Regression Model. 11.2 Health Services Research Example. 1 1.3 Competing Risk Survival Models. 11.4 Summary. 12. Mixed-effects Regression Models for Counts. 12.1 Poisson Regression Model. 12.2 Modified Poisson Models. 12.3 The ZIP Model. 12.4 Mixed-Effects Models for Counts. 12.5 Illustration. 12.6 Summary. 13. Mixed-Effects Regression Models for Three-Level Data. 13.1 Three-Level Mixed-Effects Linear Regression Model. 13.1.1 Illustration. 13.2 Three-Level Mixed-Effects Nonlinear Regression Models. 13.3 Summary. 14. Missing Data in Longitudinal Studies. 14.1 Introduction. 14.2 Missing Data Mechanisms. 14.3 Models and Missing Data Mechanisms. 14.4 Testing MCAR. 14.5 Models for Nonignorable Missingness. 14.6 Summary. Bibliography. Topic Index.
£125.06
John Wiley & Sons Inc Image Processing and Jump Regression Analysis
Book SynopsisAddresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them.Trade Review"It has much to offer that is hard to find elsewhere." (Journal of the American Statistical Association, December 2006) "…a well-written book offering comprehensive discussions...an excellent reference and source book for statisticians, computer scientists, engineers, and other researchers…" (IIE Transactions- Quality and Reliability Engineering, June 2006) "…an impressive resource for research statisticians…researchers in computer graphics and image processing…" (Technometrics, May 2006)Table of ContentsPreface. 1. Introduction. 2. Basic Statistical Concepts and Conventional Smoothing Techniques. 3. Estimation of Jump Regression Curves. 4. Estimation of Jump Location Curves of Regression Surfaces. 5. Jump Preserving Surface Estimation By Local Smoothing. 6. Edge Detection In Image Processing. 7. Edge-Preserving Image Restoration. References. Index.
£126.85
John Wiley & Sons Inc Understanding Calculus
Book SynopsisGives you what you need to know - basic essential concepts - about calculus. Suitable for those looking for a readable alternative to the usual unwieldy calculus text, this title provides in a condensed format the material covered in the standard two-year calculus course. It also covers vectors, lines, and planes in space; and line integrals.Trade Review"...expands coverage to vectors and calculus of several variables...plenty of worked out problems..." (American Mathematical Monthly, August/September 2003) "...material included is well formulated and approachable...recommended." (Choice, Vol. 41, No. 1, September 2003)Table of ContentsAUTHOR'S MESSAGE TO THE READER vii ANNOTATED TABLE OF CONTENTS ix ACKNOWLEDGMENTS xv CHAPTER 1 Lines 1 CHAPTER 2 Parabolas, Ellipses, Hyperbolas 7 CHAPTER 3 Differentiation 13 CHAPTER 4 Differentiation Formulas 19 CHAPTER 5 The Chain Rule 25 CHAPTER 6 Trigonometric Functions 31 CHAPTER 7 Exponential Functions and Logarithms 39 CHAPTER 8 Inverse Functions 45 CHAPTER 9 Derivatives and Graphs 51 CHAPTER 10 Following the Tangent Line 57 CHAPTER 11 The Indefinite Integral 63 CHAPTER 12 The Definite Integral 69 CHAPTER 13 Work, Volume, and Force 75 CHAPTER 14 Parametric Equations 81 CHAPTER 15 Change of Variable 87 CHAPTER 16 Integrating Rational Functions 91 CHAPTER 17 Integration By Parts 97 CHAPTER 18 Trigonometric Integrals 101 CHAPTER 19 Trigonometric Substitution 107 CHAPTER 20 Numerical Integration 115 CHAPTER 21 Limits At oo; Sequences 119 CHAPTER 22 Improper Integrals 127 CHAPTER 23 Series 133 CHAPTER 24 Power Series 141 CHAPTER 25 Taylor Polynomials 149 CHAPTER 26 Taylor Series 155 CHAPTER 27 Separable Differential Equations 161 CHAPTER 28 First-Order Linear Equations 167 CHAPTER 29 Homogeneous Second-Order Linear Equations 173 CHAPTER 30 Nonhomogeneous Second-Order Equations 179 CHAPTER 31 Vectors 185 CHAPTER 32 The Dot Product 195 CHAPTER 33 Lines and Planes in Space 201 CHAPTER 34 Surfaces 211 CHAPTER 35 Partial Derivatives 217 CHAPTER 36 Tangent Plane and Differential Approximation CHAPTER 37 Chain Rules 227 CHAPTER 38 Gradient and Directional Derivatives 233 CHAPTER 39 Maxima and Minima 239 CHAPTER 40 Double Integrals 245 CHAPTER 41 Line Integrals 255 CHAPTER 42 Green's Theorem 259 CHAPTER 43 Exact Differentials 267 ANSWERS 273 INDEX 299 ABOUT THE AUTHOR 303
£94.46
John Wiley & Sons Inc Introduction to Real Analysis
Book Synopsis* Helps one develop the ability to think deductively, analyse mathematical situations and extend ideas to a new context. * Maintains the same spirit and user-friendly approach with addition examples and expansion on Logical Operations and Set Theory.Table of ContentsCHAPTER 1 PRELIMINARIES. 1.1 Sets and Functions. 1.2 Mathematical Induction. 1.3 Finite and Infinite Sets. CHAPTER 2 THE REAL NUMBERS. 2.1 The Algebraic and Order Properties of R. 2.2 Absolute Value and the Real Line. 2.3 The Completeness Property of R. 2.4 Applications of the Supremum Property. 2.5 Intervals. CHAPTER 3 SEQUENCES AND SERIES. 3.1 Sequences and Their Limits. 3.2 Limit Theorems. 3.3 Monotone Sequences. 3.4 Subsequences and the Bolzano-Weierstrass Theorem. 3.5 The Cauchy Criterion. 3.6 Properly Divergent Sequences. 3.7 Introduction to Infinite Series. CHAPTER 4 LIMITS. 4.1 Limits of Functions. 4.2 Limit Theorems. 4.3 Some Extensions of the Limit Concept. CHAPTER 5 CONTINUOUS FUNCTIONS. 5.1 Continuous Functions. 5.2 Combinations of Continuous Functions. 5.3 Continuous Functions on Intervals. 5.4 Uniform Continuity. 5.5 Continuity and Gauges. 5.6 Monotone and Inverse Functions. CHAPTER 6 DIFFERENTIATION. 6.1 The Derivative. 6.2 The Mean Value Theorem. 6.3 L’Hospital’s Rules. 6.4 Taylor’s Theorem. CHAPTER 7 THE RIEMANN INTEGRAL. 7.1 Riemann Integral. 7.2 Riemann Integrable Functions. 7.3 The Fundamental Theorem. 7.4 The Darboux Integral. 7.5 Approximate Integration. CHAPTER 8 SEQUENCES OF FUNCTIONS. 8.1 Pointwise and Uniform Convergence. 8.2 Interchange of Limits. 8.3 The Exponential and Logarithmic Functions. 8.4 The Trigonometric Functions. CHAPTER 9 INFINITE SERIES. 9.1 Absolute Convergence. 9.2 Tests for Absolute Convergence. 9.3 Tests for Nonabsolute Convergence. 9.4 Series of Functions. CHAPTER 10 THE GENERALIZED RIEMANN INTEGRAL. 10.1 Definition and Main Properties. 10.2 Improper and Lebesgue Integrals. 10.3 Infinite Intervals. 10.4 Convergence Theorems. CHAPTER 11 A GLIMPSE INTO TOPOLOGY. 11.1 Open and Closed Sets in R. 11.2 Compact Sets. 11.3 Continuous Functions. 11.4 Metric Spaces. APPENDIX A LOGIC AND PROOFS. APPENDIX B FINITE AND COUNTABLE SETS. APPENDIX C THE RIEMANN AND LEBESGUE CRITERIA. APPENDIX D APPROXIMATE INTEGRATION. APPENDIX E TWO EXAMPLES. REFERENCES. PHOTO CREDITS. HINTS FOR SELECTED EXERCISES. INDEX.
£186.26
John Wiley & Sons Inc Elementary Numerical Analysis
Book SynopsisOffering a clear, precise, and accessible presentation, complete with MATLAB programs, this new Third Edition of Elementary Numerical Analysis gives students the support they need to master basic numerical analysis and scientific computing.Table of ContentsChapter 1. Taylor Polynomials. Chapter 2. Error and Computer Arithmetic. Chapter 3. Rootfinding. Chapter 4. Interpolation and Approximation. Chapter 5. Numerical Integration and Differentiation. Chapter 6. Solution of Systems of Linear Equations. Chapter 7. Numerical Linear Algebra: Advanced Topics. Chapter 8. Ordinary Differential Equations. Chapter 9. Finite Difference Method for PDEs. Appendix A: Mean Value Theorems. Appendix B: Mathematical Formulas. Appendix C: Numerical Analysis Software Packages. Appendix D: Matlab: An Introduction. Appendix E: The Binary Number System. Answers to Selected Problems. Bibliography. Index.
£232.16
John Wiley & Sons Inc Statistical Process Adjustment 369 Wiley Series
Book SynopsisA comprehensive presentation of control theory for the SPC community Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product quality.Trade Review"It is definitely a book that I would gladly buy, and one that I would have no hesitation in recommending to fellow professionals." (IIE Transactions-Quality and Reliability Engineering, November 2005) "…I think that this is a great book that is well worth its price…from those working in the manufacturing area…this book is a valuable resource." (Journal of the American Statistical Association, June 2004) "...presents process adjustment techniques based on EPC methods and discusses them from the perspective of product quality control..." (SciTech Book News, Vol. 26, No. 2, June 2002) "...the author attempts consolidation of [controlling process variables and monitoring product attributes] along technical tools...this book successfully achieves the intended purpose…useful…easy-to-read..." (Mathematical Reviews, 2003a) "I like this book.... If you are a statistician interested in EPC or a process control engineer wondering how SPC relates to EPC, then this book is for you." (Technometrics, Vol. 45, No. 1, February 2003) "...I like this book very much and it should make a useful addition to both academic and industrial provider libraries..." (Measurement & Control, February 2003) "...fills the need for a comprehensive presentation of control theory at an elementary level..." (Zentralblatt Math, Vol.1002, No.02, 2003)Table of ContentsPreface. Process Monitoring versus Process Adjustment. Modeling Discrete-Time Dynamical Processes. ARIMA Time-Series Models. Transfer Function Modeling. Optimal Feedback Controllers. Discrete-Time PID Controllers. EWMA Feedback Controllers and the Run-to-Run Control Problem. Recursive Estimation and Adaptive Control. Analysis and Adjustment of Multivariate Processes. Data Files and Spreadsheets Used in the Book. Bibliography. Index.
£155.66
John Wiley & Sons Inc Technology Resource Manual to Accompany
Book SynopsisContinuing its rich tradition of engaging students and demonstrating how mathematics applies to various fields of study, the new edition of this text is packed with real data and real-life applications to business, economics, social and life sciences. Users continually praise Sullivan and Mizrahi for their attention to conceptual development, well-graded and applied examples and exercise sets that include CPA, CMA, and Actuarial exam questions. The new Eighth Edition also features a new full color design and improved goal-oriented pedagogy to facilitate understanding, including: More opportunities for the use of graphing calculator, including screen shots and instructions. Icons clearly identify each opportunity for the use of spreadsheets or graphing calculator. Work problems appear throughout the text, giving the student the chance to immediately reinforce the concept or skill they have just learned. Chapter Reviews contain a variety of features toTable of ContentsPreface. Chapter 0. How to Use This Manual. Chapter 1. Linear Equations. Chapter 2. Systems of Linear Equations; Matrices. Chapter 3. Linear Programming: Geometric Approach. Chapter 4. Linear Programming: Simplex Method. Chapter 5. Finance. Chapter 6. Sets; Counting Techniques. Chapter 7. Probability. Chapter 8. Additional Probability Topics. Chapter 9. Statistics. Chapter 10. Functions and Their Graphs. Chapter 11. Classes of Functions. Chapter 12. The Limit of a Function. Chapter 13. The Derivative of a Function. Chapter 14. Applications: Graphing Functions; Optimization. Chapter 15. The Integral of a Function and Applications. Chapter 16. Other Applications and Extensions of the Integral. Chapter 17. Calculus of Functions of Two or More Variables. Appendices A-C.
£68.88
John Wiley & Sons Inc Quantitative Methods Extensions of Ordinary
Book SynopsisResponding to threats such as super diseases and bioterrorism, measuring the health of populations is regarded as an issue of paramount importance. This title addresses the analysis of a population's health for non statisticians such as epidemiologists and health services researchers.Trade Review"I enjoyed reading this book and I recommend…[it]." (Journal of Statistical Computation and Simulation, July 2005) "The book is well written…a timely book that appears to cover a gap in existing literature." (Journal of the American Statistical Association, June 2005) “…provides an accessible guide for students in an applied statistics sequence as well as for practising researchers and professionals...” (Zentralblatt Math, Vol.1038, No.13, 2004) "It is highly recommended for academic and research libraries supporting programs of demography, public health, and other interdisciplinary programs related to population health.” (E-STREAMS, August 2004) “...assembles the information...investigators need most often in the course of several long-term population-based observational studies.” (Quarterly of Applied Mathematics, Vol. LXII, No. 1, March 2004) "...this book...provides the most pages of illustrations relative to pages of text of any book that I can recall...a fantastic book for practitioners..." (Technometrics, Vol. 46, No. 1, February 2004)Table of ContentsPreface. Acknowledgments. Acronyms. Introduction. I.1 Newborn Lung Project. I.2 Wisconsin Diabetes Registry. I.3 Wisconsin Sleep Cohort Study. Suggested Reading. 1 Review of Ordinary Linear Regression and Its Assumptions. 1.1 The Ordinary Linear Regression Equation and Its Assumptions. 1.1.1 Straight-Line Relationship. 1.1.2 Equal Variance Assumption. 1.1.3 Normality Assumption. 1.1.4 Independence Assumption. 1.2 A Note on How the Least-Squares Estimators are Obtained. Output Packet I: Examples of Ordinary Regression Analyses. 2 The Maximum Likelihood Approach to Ordinary Regression. 2.1 Maximum Likelihood Estimation. 2.2 Example. 2.3 Properties of Maximum Likelihood Estimators. 2.4 How to Obtain a Residual Plot with PROC MIXED. Output Packet II: Using PROC MIXED and Comparisons to PROC RE G. 3 Reformulating Ordinary Regression Analysis in Matrix Notation. 3.1 Writing the Ordinary Regression Equation in Matrix Notation. 3.1.1 Example. 3.2 Obtaining the Least-Squares Estimator β in Matrix Notation. 3.2.1 Example: Matrices in Regression Analysis. 3.3 List of Matrix Operations to Know. 4 Variance Matrices and Linear Transformations. 4.1 Variance and Correlation Matrices. 4.1.1 Example. 4.2 How to Obtain the Variance of a Linear Transformation. 4.2.1 Two Variables. 4.2.2 Many Variables. 5 Variance Matrices of Estimators of Regression Coefficients. 5.1 Usual Standard Error of Least-Squares Estimator of Regression Slope in Nonmatrix Formulation. 5.2 Standard Errors of Least-Squares Regression Estimators in Matrix Notation. 5.2.1 Example. 5.3 The Large Sample Variance Matrix of Maximum Likelihood Estimators. 5.4 Tests and Confidence Intervals. 5.4.1 Example-Comparing PROC REG and PROC MIXED. 6 Dealing with Unequal Variance Around the Regression Line. 6.1 Ordinary Least Squares with Unequal Variance. 6.1.1 Examples. 6.2 Analysis Taking Unequal Variance into Account. 6.2.1 The Functional Transformation Approach. 6.2.2 The Linear Transformation Approach. 6.2.3 Standard Errors of Weighted Regression Estimators. Output Packet III: Applying the Empirical Option to Adjust Standard Errors. Output Packet IV: Analyses with Transformation of the Outcome Variable to Equalize Residual Variance. Output Packet V: Weighted Regression Analyses of GHb Data on Age. 7 Application of Weighting with Probability Sampling and Nonresponse. 7.1 Sample Surveys with Unequal Probability Sampling. 7.1.1 Example. 7.2 Examining the Impact of Nonresponse. 7.2.1 Example (of Reweighting as Well as Some SAS Manipulations). 7.2.2 A Few Comments on Weighting by a Variable Versus Including it in the Regression Model. Output Packet VI: Survey and Missing Data Weights. 8 Principles in Dealing with Correlated Data. 8.1 Analysis of Correlated Data by Ordinary Unweighted Least-Squares Estimation. 8.1.1 Example. 8.1.2 Deriving the Variance Estimator. 8.1.3 Example. 8.2 Specifying Correlation and Variance Matrices. 8.3 The Least-Squares Equation Incorporating Correlation. 8.3.1 Another Application of the Spectral Theorem. 8.4 Applying the Spectral Theorem to the Regression Analysis of Correlated Data. 8.5 Analysis of Correlated Data by Maximum Likelihood. 8.5.1 Non equal Variance. 8.5.2 Correlated Errors. 8.5.3 Example. Output Packet VII: Analysis of Longitudinal Data in Wisconsin Sleep Cohort. 9 A Further Study of How the Transformation Works with Correlated Data. 9.1 Why Would ?W and ?B Differ? 9.2 How the Between- and Within-Individual Estimators are Combined. 9.3 How to Proceed in Practice. 9.3.1 Example. Output Packet VIII: Investigating and Fitting Within- and Between-Individual Effects. 10 Random Effects. 10.1 Random Intercept. 10.1.1 Example. 10.1.2 Example. 10.2 Random Slopes. 10.2.1 Example. 10.3 Obtaining “The Best” Estimates of Individual Intercepts and Slopes. 10.3.1 Example. Output Packet IX: Fitting Random Effects Models. 11 The Normal Distribution and Likelihood Revisited. 11.1 PROC GENMOD. 11.1.1 Example. Output Packet X: Introducing PROC GENMOD. 12 The Generalization to Non-normal Distributions. 12.1 The Exponential Family. 12.1.1 The Binomial Distribution. 12.1.2 The Poisson Distribution. 12.1.3 Example. 12.2 Score Equations for the Exponential Family and the Canonical Link. 12.3 Other Link Functions. 12.3.1 Example. 13 Modeling Binomial and Binary Outcomes. 13.1 A Brief Review of Logistic Regression. 13.1.1 Example: Review of the Output from PROC LOGIST. 13.2 Analysis of Binomial Data in the Generalized Linear Models Framework. 13.2.1 Example of Logistic Regression with Binary Outcome. 13.2.2 Example with Binomial Outcome. 13.2.3 Some More Examples of Goodness-of-Fit Tests. 13.3 Other Links for Binary and Binomial Data. 13.3.1 Example. Output Packet XI: Logistic Regression Analysis with PROC LOGIST and PROC GENMOD. Output Packet XII: Analysis of Grouped Binomial Data. Output Packet XIII: Some Goodness-of-Fit Tests for Binomial Outcome. Output Packet XIV: Three Link Functions for Binary Outcome. Output Packet XV: Poisson Regression. Output Packet XVI: Dealing with Overdispersion in Rates. 14 Modeling Poisson Outcomes—The Analysis of Rates. 14.1 Review of Rates. 14.1.1 Relationship Between Rate and Risk. 14.2 Regression Analysis. 14.3 Example with Cancer Mortality Rates. 14.3.1 Example with Hospitalization of Infants. 14.4 Overdispersion. 14.4.1 Fitting a Dispersion Parameter. 14.4.2 Fitting a Different Distribution. 14.4.3 Using Robust Standard Errors. 14.4.4 Applying Adjustments for Over Dispersion to the Examples. Output Packet XV: Poisson Regression. 15 Modeling Correlated Outcomes with Generalized Estimating Equations. 15.1 A Brief Review and Reformulation of the Normal Distribution, Least Squares and Likelihood. 15.2 Further Developments for the Exponential Family. 15.3 How are the Generalized Estimating Equations Justified? 15.3.1 Analysis of Longitudinal Systolic Blood Pressure by PROC MIXED and GENMOD. 15.3.2 Analysis of Longitudinal Hypertension Data by PROC GENMOD. 15.3.3 Analysis of Hospitalizations Among VLBW Children Up to Age 5. 15.4 Another Way to Deal with Correlated Binary Data. Output Packet XVII: Mixed Versus GENMOD for Longitudinal SBP and Hypertension Data. Output Packet XVIII: Longitudinal Analysis of Rates. Output Packet XIX: Conditional Logistic Regression of Hypertension Data. References. Appendix: Matrix Operations. A.1 Adding Matrices. A.2 Multiplying Matrices by a Number. A.3 Multiplying Matrices by Each Other. A.4 The Inverse of a Matrix. Index.
£130.45
John Wiley & Sons Inc Latent Curve Models
Book SynopsisAn effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and findings and, at the same time, provide original results. The book analyzes LCMs from the perspective of structural equation models (SEMs) with latent variables. While the authors discuss simple regression-based procedures that are useful in the early stages of LCMs, most of the presentation uses SEMs as a driving tool. This cutting-edge work includes some of the authors'' recent work on the auTrade Review"This useful new text on growth curve modeling fills a critical gap in the applied methodological literature in longitudinal modelling. ... We see it as an important text for those working in longitudinal modeling to own and be able to refer to in the context of model development and instruction." (Psychometrika, 2011) "…an authoritative account of the subject…" (Journal of the American Statistical Association, December 2007)Table of ContentsPreface. 1 Introduction. 1.1 Conceptualization and Analysis of Trajectories. 1.2 Three Initial Questions About Trajectories. 1.3 Brief History of Latent Curve Models. 1.4 Organization of the Remainder of the Book. 2 Unconditional Latent Curve Model. 2.1 Repeated Measures. 2.2 General Model and Assumptions. 2.3 Identification. 2.4 Case-By-Case Approach. 2.5 Structural Equation Model Approach. 2.6 Alternative Approaches to the SEM. 2.7 Conclusions. Appendix 2A: Test Statistics, Nonnormality, and Statistical Power. 3 Missing Data and Alternative Metrics of Time. 3.1 Missing Data. 3.2 Missing Data and Alternative Metrics of Time. 3.3 Conclusions. 4 Nonlinear Trajectories and the Coding of Time. 4.1 Modeling Nonlinear Functions of Time. 4.2 Nonlinear Curve Fitting: Estimated Factor Loadings. 4.3 Piecewise Linear Trajectory Models. 4.4 Alternative Parametric Functions. 4.5 Linear Transformations of the Metric of Time. 4.6 Conclusions. Appendix 4A: Identification of Quadratic and Piecewise Latent Curve Models. 4A.1 Quadratic LCM. 4A.2 Piecewise LCM. 5 Conditional Latent Curve Models. 5.1 Conditional Model and Assumptions. 5.2 Identification. 5.3 Structural Equation Modeling Approach. 5.4 Interpretation of Conditional Model Estimates. 5.5 Empirical Example. 5.6 Conclusions. 6 The Analysis of Groups. 6.1 Dummy Variable Approach. 6.2 Multiple-Group Analysis. 6.3 Unknown Group Membership. 6.4 Conclusions. Appendix 6A: Case-by-Case Approach to Analysis of Various Groups. 6A.1 Dummy Variable Method. 6A.2 Multiple-Group Analysis. 6A.3 Unknown Group Membership. 6A.4 Appendix Summary. 7 Multivariate Latent Curve Models. 7.1 Time-Invariant Covariates. 7.2 Time-Varying Covariates. 7.3 Simultaneous Inclusion of Time-Invariant and Time-Varying Covariates. 7.4 Multivariate Latent Curve Models. 7.5 Autoregressive Latent Trajectory Model. 7.6 General Equation for All Models. 7.7 Implied Moment Matrices. 7.8 Conclusions. 8 Extensions of Latent Curve Models. 8.1 Dichotomous and Ordinal Repeated Measures. 8.2 Repeated Latent Variables with Multiple Indicators. 8.3 Latent Covariates. 8.4 Conclusions. References. Author Index. Subject Index.
£114.26
John Wiley & Sons Inc Methods for Testing and Evaluating Survey
Book SynopsisIn the past two decades, methods for the development, evaluation, and testing of survey questionnaires have changed radically. Research has also begun to evaluate the strengths and weaknesses of alternative techniques, and to examine the generality and consistency of their results.Trade Review"...a superb resource...The writing style of each of the authors is uniformly excellent. This volume should be in every survey practitioner's library." (Contemporary Sociology, July 2005) "...the ultimate resource for writing statistically valid surveys." (Technometrics, May 2005) "Questionnaires are an emerging issue is survey sampling, and this book will be an important tool for researchers and survey practitioners." (Journal of the American Statistical Association, June 2005) “This volume is essential for anyone collecting or using survey data.” (Journal of the Royal Statistical Society Series A, June 2005) “…informative and interesting…makes a significant contribution to the development and testing of questionnaires…” (www.biomedical-engineering-online.com, 2005 4:3)Table of ContentsContributors. Preface. 1. Methods for Testing and Evaluating Survey Questions (Stanley Presser, et al.). PART I: COGNITIVE INTERVIEWS. 2. Cognitive Interviewing Revisited: A Useful Technique, in Theory (Gordon B. Willis). 3. The Dynamics of Cognitive Interviewing (Paul Beatty). 4. Data Quality in Cognitive Interviews: The Case of Verbal Reports (Fred G. Conrad and Johnny Blair). 5. Do Different Cognitive Interview Techniques Produce Different Results (Theresa J. DeMaio and Ashley Landreth)? PART II: SUPPLEMENTS TO CONVENTIONAL PRETESTS. 6. Evaluating Survey Questions by Analyzing Patterns of Behavior Codes and Question-Answer Sequences (Johannes van der Zouwen and Johannes H. Smit). 7. Response Latency and (Para) Linguistic Expressions as Indicators of Response Error (Stasja Draisma and Wil Dijkstra). 8. Vignettes and Respondent Debriefing for Questionnaire Design and Evaluation (Elizabeth Martin). PART III: EXPERIMENTS. 9. The Case for More Split-Sample Experiments in Developing Survey Instruments (Floyd Jackson Fowler). 10. Using Field Experiments to Improve Instrument Design: The SIPP Methods Panel Project (Jeffrey Moore, et al.). 11. Experimental Design Considerations for Testing and Evaluating Questionnaires (Roger Tourangeau). PART IV: STATISTICAL MODELING. 12. Modeling Measurement Error to Identify Flawed Questions (Paul Biemer). 13. Item Response Theory (IRT) Modeling for Questionnaire Evaluation (Bryce B. Reeve and Louise C. Mâsse). 14. Development and Improvement of Questionnaires Using Predictions of Reliability and Validity (William E. Saris, et al.). PART V: MODE OF ADMINISTRATION. 15. Testing Paper Self-administered Questionnaires: Cognitive Interview and Field Test Comparisons (Don A. Dillman and Cleo D. Redline). 16. Methods for Testing and Evaluating Computer-Assisted Questionnaires (John Tarnai and Danna L. Moore). 17. Usability Testing to Evaluate Computer-Assisted Survey Instruments (Sue Ellen Hansen and Mick P. Couper). 18. Development and Testing of Web Questionnaires (Reginald P. Baker, et al.). PART VI: SPECIAL POPULATIONS. 19. Evolution and Adaptation of Questionnaire Development, Evaluation and Testing for Establishment Surveys (Diane K. Willimack, et al.). 20. Pretesting Questionnaires for Children and Adolescents (Edith de Leeuw, et al.). 21. Developing and Evaluating Cross-National Survey Insteuments (Tom W. Smith). 22. Survey Questionnaire Translation and Assessment (Janet Harkness, et al.). PART VII: MULTI-METHOD APPLICATIONS. 23. A Multiple-Method Approach to Improving the Clarity of Closely Related Concepts: Distinguishing Legal and Physical Custody of Children (Nora Cate Schaeffer and Jennifer Dykema). 24. Multiple Methods for Developing and Evaluating a Stated-Choice Questionnaire to Value Wetlands (Michael D. Kaplowitz, et al.). 25. Does Pretesting Make a Difference? An Experimental Test (Barbara Forsyth, et al.). References. Index.
£79.16
John Wiley & Sons Inc Probability
Book SynopsisImprove Your Probability of Mastering This Topic This book takes an innovative approach to calculus-based probability theory, considering it within a framework for creating models of random phenomena. The author focuses on the synthesis of stochastic models concurrent with the development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are blended with coverage of probability laws, random variables, and distribution theory, equipping the reader to be a true problem solver and critical thinker. Deliberately conversational in tone, Probability is written for students in junior- or senior-level probability courses majoring in mathematics, statistics, computer science, or engineering. The book offers a lucid and mathematicallysound introduction to how probability is used to model random behavior in the natural world. The text contains the following chapters: * ModelingTrade Review"Many instructors will find this book a useful adjunct to their courses." (The American Statistician, August 2007) "…a very pleasant and highly accessible textbook that perfectly meets the goal…[of making] probability theory accessible without sacrificing mathematical accuracy." (Mathematical Reviews, 2007h) "This book more than lives up to its ambitious title…can hold its own against any comparable text." (MAA Reviews, January 30, 2007) "This book is very useful for scientists and for students who study mathematics, statistics, economics and engineering." (Zentralblatt MATH, 1105,52)Table of ContentsPreface. To the Student. To the Instructor. Coverage. Acknowledgments. Chapter 1. Modeling. 1.1 Choice and Chance. 1.2 The Model Building Process. 1.3 Modeling in the Mathematical Sciences. 1.4 A First Look at a Probability Model: The Random Walk. 1.5 Brief Applications of Random Walks. Exercises. Chapter 2. Sets and Functions. 2.1 Operations with Sets. 2.2 Functions. 2.3 The Probability Function and the Axioms of Probability. 2.4 Equally Likely Sample Spaces and Counting Rules. Rules. Exercises. Chapter 3. Probility Laws I: Building on the Axioms. 3.1 The Complement Rule. 3.2 The Addition Rule. 3.3 Extensions and Additional Results. Exercises. Chapter 4. Probility Laws II: Results of Conditioning. 4.1 Conditional Probability and the Multiplication Rule. 4.2 Independent Events. 4.3 The Theorem of Total Probabilities and Bayes' Rule. 4.4 Problems of Special Interest: Effortful Illustrations of the Probability Laws. Exercises. Chapter 5. Random Variables and Stochastic Processes. 5.1 Roles and Types of Random Variables. 5.2 Expectation. 5.3 Roles, Types, and Characteristics of Stochastic Processes. Exercises. Chapter 6. Discrete Random Variables and Applications in Stochastic Processes. 6.1 The Bernoulli and Binomial Models. 6.2 The Hypergeometric Model. 6.3 The Poisson Model. 6.4 The Geometric and Negative Binomial. Models. Exercises. Chapter 7. Continuous Random Variables and Applications in Stochastic Processes. 7.1 The Continuous Uniform Model. 7.2 The Exponential Model. 7.3 The Gamma Model. 7.4 The Normal Model. Chapter 8. Covariance and Correlation Among Random Variables. 8.1 Joint, Marginal and Conditional Distributions. 8.2 Covariance and Correlation. 8.3 Brief Examples and Illustrations in Stochastic Processes and Times Series. Exercises. Bibliography. Tables. Index.
£163.76
John Wiley & Sons Inc Engineering and Scientific Computations Using
Book SynopsisHelps readers understand the MATLAB environment, build their skills, and apply its features to a range of applications. This book guides readers through the most important aspects and basics of MATLAB programming and problem-solving from fundamentals to practice.Trade ReviewThe book is user-friendly and comprehensive in scope." (International Journal of General Systems, December 2003) "...offers a practical introduction to MATLAB and provides a very useful collection of MATLAB's outstanding features...highly recommended for self-study and as a complementary text...an excellent addition to the shelves of academic libraries and community college and university bookstores." (Choice, Vol. 41, No. 4, December 2003)Table of ContentsPreface vii About the Author x 1. MATLAB Basics 1 2. MATLAB Functions, Operators, and Commands 27 3. MATLAB and Problem Solving 42 4. MATLAB Graphics 99 5. MATLAB Applications: Numerical Simulations of Differential Equations and Introduction to Dynamic Systems 133 6. SIMULINK 172 Appendix: MATLAB Functions, Operators, Characters, Commands, and Solvers 207 References 225 Index 226
£94.46
John Wiley & Sons Inc Elements of Wavelets for Engineers and Scientists
Book SynopsisWavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.Trade Review"To make a sophisticated topic easy to understand is not a trivial task; Mix and Olejniczak have managed it, and the result is a very useful guide to wavelets." (Computing Reviews.com, March 19, 2004) “…(the text is) self-contained and very useful for understanding…” (Zentralblatt Math, Vol.1037, No.12, 2004) "Elements of Wavelets for Engineers and Scientists is a must for every practicing engineer, scientist, computer programmer, and student needing a practical, top-to-bottom grasp of wavelets.” (Mathmatical Reviews, Issue 2004g)Table of ContentsPreface. 1. Functions and Transforms. 2. Vectors. 3. Basic and Dimension. 4. Linear Transformations. 5. Sampling Theorem. 6. Multirate Processing. 7. Fast Fourier Transform. 8. Wavelet Transform 9. Quadrature Mirror Filters. 10. Practical Wavelets and Filters. 11. Using Wavelets. Index.
£90.86
Wiley Brief Calculus An Applied Approach Student Solutions Manual 8th Edition Miranda Student Solutions Manual
Book SynopsisThis accessible introduction to Calculus is designed to demonstrate how calculus applies to various fields of study. The text is packed with real data and real-life applications to business, economics, social and life sciences. Applications using real data enhances student motivation.Table of ContentsReview 1 Chapter 1 Functions and Their Graphs 58 Chapter 2 Classes of Functions 114 Chapter 3 The Limit of a Function 171 Chapter 4 The Derivative of a Function 206 Chapter 5 Applications: Graphing Functions; Optimization 285 Chapter 6 The Integral of a Function and Applications 385 Chapter 7 Other Applications and Extensions of the Integral 439 Chapter 8 Calculus of Functions of Two or More Variables 462 Appendix A Graphing Utilities 510
£42.70
John Wiley & Sons Inc RealTime Optimization by ExtremumSeeking Control
Book SynopsisAn up-close look at the theory behind and application of extremum seeking Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today''s neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization. Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: * Develops optimization theory from the points of dynamic feedback and adaptation * Builds a solid bridge between the classical optimization theory and Trade Review"The subject matter is hard; this short book is therefore presented as an overview." (Computing Reviws.com, March 26, 2004) "…a well-written and authoritative book…an essential resource for learning about extremum-seeking control and for motivating further developments in this subject area." (IEEE Control Systems Magazine, April 2004) “...recommended..” (Choice, Vol. 41, No. 7, March 2004)Table of ContentsPreface ix I Theory 1 II Applications 91 Appendices 199 Bibliography 223 Index 235
£95.36
John Wiley & Sons Inc Regression and ANOVA
Book SynopsisThe information contained in this book has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses in the General Linear Model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations. The book contains a balanced treatment of regression and ANOVA yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text contains almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided, and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented. All exercises involve only real data, collected in the course of scientific research. The book is divided Trade Review“…very useful to applied scientists and for graduate level courses in areas of non-mathematical statistics…” (Zentralblatt Math, Vol.1039, No.8, 2004)Table of ContentsPreface. Examples and Limits of the GLM. Statement of the Model, Estimation, and Testing. Some Distributions for the GLM. Multiple Regression: General Considerations. Testing Hypotheses in Multiple Regression. Correlations. GLM Assumption Diagnostics. GLM Computation Diagnostics. Polynomial Regression. Transformations. Selecting the Best Model. Coding Schemes for Regression. One-Way ANOVA. Complete, Two-Way Factorial ANOVA. Special Cases of Two-Way ANOVA and Random Effects Basics. The Full Model in Every Cell (ANCOVA as a Special Case). Understanding and Computing Power for the GLM. Appendix A. Matrix Algebra for Linear Models. Appendix B. Statistical Tables. Appendix C. Study Guide for Linear Model Theory. Appendix D. Homework and Example Data. Appendix E. Introduction to SAS/IML. Appendix F. A Brief Manual to LINMOD. Appendix G. SAS/IML Power Program User's Guide. Appendix H. Regression Model Selection Data. References. Index.
£95.36
John Wiley & Sons Inc A StepbyStep Approach to Using SAS for Univariate
Book SynopsisOne in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary statistical procedures for researchers and students in the Social Sciences. This Second Edition, updated to cover version 9 of the SAS software, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and MANOVA (multivariate analysis of variance).Table of ContentsAcknowledgments. Using This Book. Chapter 1. Basic Concepts in Research and Data Analysis. Chapter 2. Introduction to SAS Programs, SAS LOGs, and SAS Output. Chapter 3. Data Input. Chapter 4. Working with Variables and Observations in SAS Datasets. Chapter 5. Exploring Data with PROC MEANS, PROC FREQ, PROC PRINT, and PROC UNIVARIATE. Chapter 6. Measures of Bivariate Association. Chapter 7. Assessing Scale Reliability with Coefficient Alpha. Chapter 8. t Tests: Independent Samples and Paired Samples. Chapter 9. One-Way ANOVA with One Between-Subjects Factor. Chapter 10. Factorial ANOVA with Two Between-Subjects Factors. Chapter 11. Multivariate Analysis of Variance (MANOVA) with One Between-Subjects Factor. Chapter 12. One-Way ANOVA with One Repeat-Measures Factor. Chapter 13. Factorial ANOVA with Repeated-Measures Factors and Between-Subjects Factor. Chapter 14. Multiple Regression. Chapter 15. Principal Component Analysis. Appendix A: Choosing the Correct Statistic. Appendix B: Datasets. Appendix C: Critical Values of the F Distribution. Index.
£95.36
John Wiley & Sons Inc Using Statistical Methods for Water Quality
Book SynopsisSTATISTICS IN PRACTICE A practical exploration of alternative approaches to analyzing water-related environmental issues Written by an experienced environmentalist and recognized expert in the field, this text is designed to help water resource managers and scientists to formulate, implement, and interpret more effective methods of water quality management. After presenting the basic foundation for using statistical methods in water resource management, including the use of appropriate hypothesis test procedures and some rapid calculation procedures, the author offers a range of practical problems and solutions on environmental topics that often arise, but are not generally covered. These include: * Formulating water quality standards * Determining compliance with standards * MPNs and microbiology * Water-related, human health risk modeling * Trends, impacts, concordance, and detection limits In order to promote awareness of aTrade Review"…illustrates the myriads of ways that statistical methods are needed for research and management related to water." (Journal of the American Statistical Association, September 2007) "...well-written, clearly organized and quite comprehensive...this book should be a welcome addition to every water quality management library." (Ecological Engineering, January 2007) "Managers…should…benefit from the wise advice on interpreting the results of analysis." (Journal of Environmental Quality, March/April 2006) "…any groundwater scientist will certainly get considerable benefit from trying to acquire some of the knowledge put forth in this excellent book." (Technometrics, February 2006)Table of ContentsList of Figures. List of Tables. Preface. PART I: ISSUES. 1. Introduction. 2. Basic Concepts of Probability and Statistics. 3. Intervals. 4. Hypothesis Testing. 5. Detection. 6. Mathematics and Calculation Methods. 7. Formulating Water Quality Standards. 8. Percentile Standards (and the Reverend Bayes). 9. Microbial Water Quality and Human Health. 10. MPNs and Microbiology. 11. Trends, Impacts, Concordance, Detection Limits. 12. Answers to Exerciser. References. Author Index. Topic Index. Appendix: Statistical Tables.
£136.76
