Mathematics Books
Princeton University Press Adelic Line Bundles on Quasiprojective Varieties
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£52.70
Taylor & Francis Ltd Database Systems in Science and Engineering
Book SynopsisComputerized databases provide a powerful everyday tool for data handling by scientists and engineers. However, the unique nature of many technical tasks requires a specialized approach to make use of the many powerful commercial database tools now available. Using these tools has proved difficult because database technology is often shrouded in layers of jargon. An essential guide for scientists and engineers who use computers to avoid drowning in a flood of data, Database Systems in Science and Engineering dispels the myths associated with database design and breaks the barriers to successful databases. Using the language of scientists and engineers, this book explains concepts and problems, offers practical steps and solutions, and provides new ideas for better data handling. The first part of the book presents an overview of technical databases using examples taken from real applications and the current state of technical databases. The second part covers the computer impleTrade Review"… a valuable resource for scientists … a fine job of presenting the information necessary to plan, design, and use computerized technical databases …The language is clear, the treatment easy to follow, and the presentation is copiously illustrated with realistic diagrams and flow charts … the authors frequently emphasize that the user and his or her needs are the key to successful database design. Chapters on developing an effective user interface and on efficient dissemination of data provide specific suggestions for accomplishing this purpose." -Journal of Chemical Information and Computer SciencesTable of ContentsIntroduction to technical databases. The nature of technical data. Types of technical databases. The use of technical databases. User interfaces. The dissemination of technical databases. Data structures. Architecture of a database. Data models. Database planning. Database design. Expert systems.
£123.50
Ebury Publishing The LifeChanging Magic of Numbers
Book SynopsisBOBBY SEAGULL became a cult star as a contestant on University Challenge in 2017. He is now an obsessive quiz enthusiast, TV presenter, secondary school maths teacher, a doctoral student researching maths anxiety at Cambridge University and also a long-suffering West Ham fan.Trade ReviewTruly mind-blowing... Entertaining, playful and gloriously readable * Daily Mail *Bobby is probably the best-known maths teacher in the UK * Guardian *
£13.49
Orion Publishing Co Natures Numbers Discovering Order and Pattern in
Book SynopsisA mathematical sightseeing tour of the natural world from the author of THE MAGICAL MAZEWhy do many flowers have five or eight petals, but very few six or seven? Why do snowflakes have sixfold symmetry? Why do tigers have stripes but leopards have spots?Mathematics is to nature as Sherlock Holmes is to evidence. Mathematics can look at a single snowflake and deduce the atomic geometry of its crystals; it can start with a violin string and uncover the existence of radio waves. And mathematics still has the power to open our eyes to new and unsuspected regularities - the secret structure of a cloud or the hidden rhythms of the weather. There are patterns in the world we are now seeing for the first time - patterns at the frontier of science, yet patterns so simple that anybody can see them once they know where to look.
£15.52
Taylor & Francis Inc The Maple V Primer Release 4
Book SynopsisLearn how to use the modern techniques offered by Maple V, a powerful and popular computer algebra system. The Maple V Primer: Release 4 covers all the basic topics a reader needs to know to use Maple V in its major revision encompassed in Release 4 to do algebra and calculus, solve equations, graph 2- and 3-dimensional plots, perform simple programming tasks, and prepare mathematical documents. Every common command and function is supported by a specific example, so you won''t waste time struggling with the syntax. Graphs, plots, and other Maple output are provided along with the syntax, so the user knows what to expect when she or he uses a particular command. And all the examples come with a short discussion, answering questions you might have about applying the example to your own work. This is a painless - even fun - way to learn how to use Maple V.Table of Contents(Chapter Titles): Getting started. MAPLE V as a calculator. High school algebra. Data types. Calculus. Graphics . Linear Algebra. MAPLE V Programming. Saving and reading files. Document preparation. Overview of Packages. Glossary of commands. Further reading. Index.
£35.14
Wellesley-Cambridge Press,U.S. Computational Science and Engineering
Book SynopsisEncompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists (and many more on MIT's OpenCourseWare 18.085-6). His experience is seen in his clear explanations, wide range of examples, and teaching method. The book is solution-based and not formula-based: it integrates analysis and algorithms and MATLAB codes to explain each topic as effectively as possible. The topics include applied linear algebra and fast solvers, differential equations with finite differences and finite elements, Fourier analysis and optimization. This book also serves as a reference for the whole community of computational scientists and engineers. Supporting resources, including MATLAB codes, problem solutions and video lectures from Gilbert Strang's 18.085 courses at MIT, are provi
£74.09
Cambridge University Press Logical Pluralism
£18.00
Cambridge University Press Graph Spectra for Complex Networks
Book SynopsisThis concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering several types of graphs, it provides the mathematical foundation needed to understand and apply spectral insight to real-world communications systems and complex networks.Table of ContentsSymbols; 1. Introduction; Part I. Spectra of Graphs: 2. Algebraic graph theory; 3. Eigenvalues of the adjacency matrix; 4. Eigenvalues of the Laplacian Q; 5. Effective resistance matrix; 6. Spectra of special types of graphs; 7. Density function of the eigenvalues; 8. Spectra of complex networks; Part II. Eigensystem: 9. Topics in linear algebra; 10. Eigensystem of a matrix; Part III. Polynomials: 11. Polynomials with real coefficients; 12. Orthogonal polynomials; References; Index.
£47.49
Cambridge University Press Philosophical Uses of Categoricity Arguments
Book SynopsisThis Element addresses the categoricity arguments that have been more effective in historical cases that reflect philosophically on internal mathematical matters than in recent questions of pre-theoretic metaphysics.Table of Contents1. Introduction; 2. Dedekind in 'Was sind und was sollen die Zahlen?' (1888); 3. Dedekind in 'Was sind und was sollen die Zahlen?' (1888); 4. Kreisel in 'Informal rigor and incompleteness proofs' (1967) and 'Two notes on the foundations of set theory'(1969); 5. Parsons in 'The uniqueness of the natural numbers' (1990) and 'Mathematical induction' (2008); 6. Parsons in 'The uniqueness of the natural numbers' (1990) and 'Mathematical induction' (2008); 7. Conclusion; References.
£17.00
Cambridge University Press The Pattern of Change
Book Synopsis
£35.99
Cambridge University Press Derivatives Pricing
Book Synopsis
£123.50
Cambridge University Press Primal Heuristics in Integer Programming
Book SynopsisPrimal heuristics guarantee that feasible, high-quality solutions are provided at an early stage of the solving process, and thus are essential to the success of mixed-integer programming (MIP). By helping prove optimality faster, they allow MIP technology to extend to a wide variety of applications in discrete optimization. This first comprehensive guide to the development and use of primal heuristics within MIP technology and solvers is ideal for computational mathematics graduate students and industry practitioners. Through a unified viewpoint, it gives a unique perspective on how state-of-the-art results are integrated within the branch-and-bound approach at the core of the MIP technology. It accomplishes this by highlighting all the required knowledge needed to push the heuristic side of MIP solvers to their limit and pointing out what is left to do to improve them, thus presenting heuristic approaches for MIP as part of the MIP solving process.
£28.49
Cambridge University Press The Mathematics of Origami
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£33.24
CRC Press Linear Algebra and Its Applications with R
Book SynopsisThis book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These students tend not to realize the importance of linear algebra in applied sciences, since traditional linear algebra courses tend to cover mathematical contexts but not the computational aspect of linear algebra or its applications to data science and bioinformatics. The author presents the topics in a traditional course, yet offers lectures as well as lab exercises on simulated and empirical data sets. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world applications.Each section starts with working examples to demonstrate how tools from linear algebra can help solve problems in applied sciences. These exercises start from easy computations, such as computing determinants of matrices, to practical applications on simulated and e
£54.14
Taylor & Francis Teaching Secondary Mathematics
Book SynopsisSolidly grounded in up-to-date research, theory, and technology, Teaching Secondary Mathematics is a practical, student-friendly, and popular text for secondary mathematics methods courses. It provides clear and useful approaches for mathematics teachers and shows how concepts typically found in a secondary mathematics curriculum can be taught in a positive and encouraging way. The thoroughly revised fifth edition combines this pragmatic approach with truly innovative and integrated technology content throughout. Synthesized content between the book and a comprehensive Instructor and Student Resource website offers expanded discussion of chapter topics, additional examples, and technological tips, such as using and assessing artificial intelligence.Each chapter features tried-and-tested pedagogical techniques, problem-solving challenges, discussion points, activities, mathematical challenges, and student-life-based applications that will encourage students to think and do.New to the fifth edition: A fully revised chapter on technological advancements in the teaching of mathematics, including the use of artificial intelligence A new chapter on equity, shame, and anxiety in the mathematics classroom Connections to both the updated National Council of Teachers of Mathematics (NCTM) Focal Points and Standards Problem-solving challenges and sticky questions featured in each chapter to encourage students to think through everyday issues and possible solutions A fresh interior design to better highlight pedagogical elements and key features A completely updated Instructor and Student Resource site with chapter-by-chapter video lessons, teacher tools, problem solving Q&As, exercises, and helpful links and resources. Table of ContentsPart 1: General Fundamentals 1. Introduction 2. Learning Theory, Curriculum, and Assessment 3. Equity, Shame, and Anxiety in the Mathematics Classroom 4. Planning 5. Skills in Teaching Mathematics Part 2: Mathematics Education Fundamentals 6. Technology 7. Problem Solving 8. Discovery 9. Proof Part 3: Content and Strategies 10. Foundations of Mathematics 11. Algebra 1 12. Geometry 13. Algebra II – Advanced Algebra and Modeling 14. Pre-Calculus and Calculus 15. Probability and Statistics
£66.49
Taylor & Francis Ltd Real Analysis and Foundations
Book SynopsisThrough four editions this popular textbook attracted a loyal readership and widespread use. Students find the book to be concise, accessible, and complete. Instructors find the book to be clear, authoritative, and dependable. The primary goal of this new edition remains the same as in previous editions. It is to make real analysis relevant and accessible to a broad audience of students with diverse backgrounds while also maintaining the integrity of the course. This text aims to be the generational touchstone for the subject and the go-to text for developing young scientists. This new edition continues the effort to make the book accessible to a broader audience. Many students who take a real analysis course do not have the ideal background. The new edition offers chapters on background material like set theory, logic, and methods of proof. The more advanced material in the book is made more apparent.This new edition offers a new chapter on metric spaces and their applications. Metric spaces are important in many parts of the mathematical sciences, including data mining, web searching, and classification of images. The author also revised the material on sequences and series adding examples and exercises that compare convergence tests and give additional tests.The text includes rare topics such as wavelets and applications to differential equations. The level of difficulty moves slowly, becoming more sophisticated in later chapters. Students have commented on the progression as a favorite aspect of the textbook.The author is perhaps the most prolific expositor of upper division mathematics. With over seventy books in print, thousands of students have been taught and learned from his books.
£54.14
Taylor & Francis Ltd Research Software Engineering
Book Synopsis
£54.14
CRC Press The Analysts Gambit
£47.49
Taylor & Francis Ltd Introduction to Stochastic Finance with Market
Book SynopsisIntroduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance, covering the basics of stochastic calculus for finance, and details the techniques required to model the time evolution of risky assets. The book discusses a wide range of classical topics including BlackScholes pricing, American options, derivatives, term structure modeling, and change of numéraire. It also builds up to special topics, such as exotic options, stochastic volatility, and jump processes.New to this Edition New chapters on Barrier Options, Lookback Options, Asian Options, Optimal Stopping Theorem, and Stochastic Volatility Contains over 235 exercises and 16 problems with complete solutions available online from the iTable of ContentsIntroduction. 1. Assets, Portfolios, and Arbitrage. 1.1. Portfolio Allocation and Short Selling. 1.2. Arbitrage. 1.3. Risk-Neutral Probability Measures. 1.4. Hedging of Contingent Claims. 1.5. Market Completeness. 1.6. Example: Binary Market. Exercises. 2. Discrete-Time Market Model. 2.1. Discrete-Time Compounding. 2.2. Arbitrage and Self-Financing Portfolios. 2.3. Contingent Claims. 2.4. Martingales and Conditional Expectations. 2.5. Market Completeness and Risk-Neutral Measures. 2.6. The Cox-Ross-Rubinstein (CRR) Market Model. Exercises. 3. Pricing and Hedging in Discrete Time. 3.1. Pricing Contingent Claims. 3.2. Pricing Vanilla Options in the CRR Model. 3.3. Hedging Contingent Claims. 3.4. Hedging Vanilla Options. 3.5. Hedging Exotic Options. 3.6. Convergence of the CRR Model. Exercises. 4. Brownian Motion and Stochastic Calculus. 4.1. Brownian Motion. 4.2. Three Constructions of Brownian Motion. 4.3. Wiener Stochastic Integral. 4.4. Itô Stochastic Integral. 4.5. Stochastic Calculus. Exercises. 5. Continuous-Time Market Model. 5.1. Asset Price Modeling. 5.2. Arbitrage and Risk-Neutral Measures. 5.3. Self-Financing Portfolio Strategies. 5.4. Two-Asset Portfolio Model. 5.5. Geometric Brownian Motion. Exercises. 6. Black-Scholes Pricing and Hedging. 6.1. The Black-Scholes PDE. 6.2. European Call Options. 6.3. European Put Options. 6.4. Market Terms and Data. 6.5. The Heat Equation. 6.6. Solution of the Black-Scholes PDE. Exercises. 7. Martingale Approach to Pricing and Hedging. 7.1. Martingale Property of the Itô Integral. 7.2. Risk-neutral Probability Measures. 7.3. Change of Measure and the Girsanov Theorem. 7.4. Pricing by the Martingale Method. 7.5. Hedging by the Martingale Method. Exercises. 8. Stochastic Volatility. 8.1. Stochastic Volatility Models. 8.2. Realized Variance Swaps. 8.3. Realized Variance Options. 8.4. European Options - PDE Method. 8.5. Perturbation Analysis. Exercises. 9. Volatility Estimation. 9.1. Historical Volatility. 9.2. Implied Volatility. 9.3. Local Volatility. 9.4. The VIX® Index. Exercises. 10. Maximum of Brownian motion. 10.1. Running Maximum of Brownian Motion. 10.2. The Reflection Principle. 10.3. Density of the Maximum of Brownian Motion. 10.4. Average of Geometric Brownian Extrema. Exercises. 11. Barrier Options. 11.1. Options on Extrema. 11.2. Knock-Out Barrier. 11.3. Knock-In Barrier. 11.4. PDE Method. 11.5. Hedging Barrier Options. Exercises. 12. Lookback Options. 12.1. The Lookback Put Option. 12.2. PDE Method. 12.3. The Lookback Call Option. 12.4. Delta Hedging for Lookback Options. Exercises. 13. Asian Options. 13.1. Bounds on Asian Option Prices. 13.2. Hartman-Watson Distribution. 13.3. Laplace Transform Method. 13.4. Moment Matching Approximations. 13.5. PDE Method. Exercises. 14. Optimal Stopping Theorem. 14.1. Filtrations and Information Flow. 14.2. Submartingales and Supermartingales. 14.3. Optimal Stopping Theorem. 14.4. Drifted Brownian Motion. Exercises. 15. American Options. 15.1. Perpetual American Put Options. 15.2. PDE Method for Perpetual Put Options. 15.3. Perpetual American Call Options. 15.4. Finite Expiration American Options. 15.5. PDE Method with Finite Expiration. Exercises. 16. Change of Numéraire and Forward Measures. 16.1. Notion of Numéraire. 16.2. Change of Numéraire. 16.3. Foreign Exchange. 16.4. Pricing Exchange Options. 16.5. Hedging by Change of Numéraire. Exercises. 17. Short Rates and Bond Pricing. 17.1. Vasicek model. 17.2. Affine Short Rate Models. 17.3. Zero-Coupon and Coupon Bonds. 17.4. Bond Pricing PDE. Exercises. 18. Forward Rates. 18.1. Construction of Forward Rates. 18.2. LIBOR/SOFR Swap Rates. 18.3. The HJM Model. 18.4. Yield Curve Modeling. 18.5. Two-Factor Model. 18.6. The BGM Model. Exercises. 19. Pricing of Interest Rate Derivatives. 19.1. Forward Measures and Tenor Structure. 19.2. Bond Options. 19.3. Caplet Pricing. 19.4. Forward Swap Measures. 19.5. Swaption Pricing. Exercises. 20. Stochastic Calculus for Jump Processes. 20.1. The Poisson Process. 20.2. Compound Poisson Process. 20.3. Stochastic Integrals and Itô Formula with Jumps. 20.4. Stochastic Differential Equations with Jumps. 20.5. Girsanov Theorem for Jump Processes. Exercises. 21. Pricing and Hedging in Jump Models. 21.1. Fitting the Distribution of Market Returns. 21.2. Risk-Neutral Probability Measures. 21.3. Pricing in Jump Models. 21.4. Exponential Lévy Models. 21.5. Black-Scholes PDE with Jumps. 21.6. Mean-Variance Hedging with Jumps. Exercises. 22. Basic Numerical Methods. 22.1. Discretized Heat Equation. 22.2. Discretized Black-Scholes PDE. 22.3. Euler Discretization. 22.4. Milshtein Discretization. Exercises. Bibliography. Index
£87.39
Taylor & Francis Ltd Deep LearningBased Forward Modeling and Inversion
Book SynopsisThis book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of thTable of Contents1. Deep Learning Framework and Paradigm in Computational Physics 2. Application of U-net in 3D Steady Heat Conduction Solver 3. Inversion of complex surface heat flux based on ConvLSTM 4. Time-domain electromagnetic inverse scattering based on deep learning 5. Reconstruction of thermophysical parameters based on deep learning 6. Advanced Deep Learning Techniques in Computational Physics
£77.99
CRC Press Multiple Stopping Problems
Book SynopsisThis book presents the theory of rational decisions involving the selection of stopping times in observed discrete-time stochastic processes, both by single and multiple decision-makers. Readers will become acquainted with the models, strategies, and applications of these models.It begins with an examination of selected models framed as stochastic optimization challenges, emphasizing the critical role of optimal stopping times in sequential statistical procedures. The authors go on to explore models featuring multiple stopping and shares on leading applications, particularly focusing on change point detection, selection problems, and the nuances of behavioral ecology. In the following chapters, an array of perspectives on model strategies is presented, elucidating their interpretation and the methodologies underpinning their genesis. Essential notations and definitions are introduced, examining general theorems about solution existence and structure, with an intricate analysi
£42.74
CRC Press Long Memory Time Series Analysis
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£47.49
CRC Press Linear Algebra for Data Science with Python
Book SynopsisLinear Algebra for Data Science with Python provides an introduction to vectors and matrices within the context of data science. This book starts from the fundamentals of vectors and how vectors are used to model data, builds up to matrices and their operations, and then considers applications of matrices and vectors to data fitting, transforming time-series data into the frequency domain, and dimensionality reduction. This book uses a computational-first approach: the reader will learn how to use Python and the associated data-science libraries to work with and visualize vectors and matrices and their operations, as well as to import data to apply these techniques. Readers learn the basics of performing vector and matrix operations by hand but are also shown how to use several different Python libraries for performing these operations.Key Features: Teaches the most important concepts and techniques for working with multi-dimensional data using vectors and matrices. Introduces readers to the some of the most important Python libraries for working with data, including NumPy and and PyTorch. Examples using real data and engineering applications show the utility of the techniques covered in this book. Includes many color visualizations to illustrate mathematical operations involving vectors and matrices. Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material.
£71.24
CRC Press A Beginnerâs Guide to Mathematical Proof
Book SynopsisA Beginnerâs Guide to Mathematical Proof prepares mathematics majors for the transition to abstract mathematics, as well as introducing a wider readership of quantitative science students, such as engineers, to the mathematical structures underlying more applied topics.The text is designed to be easily utilized by both instructor and student, with an accessible, step-by-step approach requiring minimal mathematical prerequisites. The book builds towards more complex ideas as it progresses, but never makes assumptions of the reader beyond the material already covered.Features No mathematical prerequisites beyond high school mathematics Suitable for an Introduction to Proofs course for mathematics majors and other students of quantitative sciences, such as engineering Replete with exercises and examples.
£999.99
CRC Press Exercises in Statistical Reasoning
Book SynopsisStudents cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This leads to efficient problem solving for familiar problems. However, conducting novel research is an exercise in creative problem solving that is at odds with a procedural approach; it requires thinking deeply about the topic and crafting solutions to unique problems. It is not easy to move from a topic-based, carefully-curated curriculum to the daunting world of independent research, where solutions are unknown and may not even exist. In developing this book, we considered our experience as graduate students that faced this transition.Exercises in Statistical Reasoning is a collection of exercises designed to strengthen creative problem-solving skills. The exercises are designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may n
£999.99
CRC Press Organizational Excellence
Book SynopsisThis book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards excellence. Moving beyond conventional growth metrics, this book presents excellence as a continuous journey of improvement, integrating data-driven decision-making, digital transformation, and value-based leadership. The book highlights the transformative role of AI and advanced digital technologies in optimising processes, fostering innovation, and enhancing performance measurement. It also explores Six Sigma, Lean Management, review frameworks like Baldrige, EFQM, Excellence Canada and other quality improvement frameworks, emphasising the need for continuous process refinement. It is an essential resource for leaders, managers, and professionals in management, strategy, operations, and innovation, as well as scholars in management science and organisational development. Highlights the role of data analytics and AI in process optimisation and innovation, it explores the critical factors driving sustained organisational success. Introduces scenario planning and robust decision-making to develop strategies Distinguishes excellence from growth and presents it as a continuous improvement journey Considers institutionalised innovation and new product development as essential Covers Six Sigma, Lean Management, and other methodologies, emphasises governance, ethics, and corporate social responsibility
£999.99
CRC Press Longitudinal Regression Models for Population Dynamics
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£47.49
CRC Press More Monthly Problem Gems
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£35.14
CRC Press From Numbers to Narratives that Transform
Book SynopsisThis book shows the reader how to transform cold numbers into captivating narratives that drive business success. Master the art and science of data storytelling, blend logic with creativity, and turn insights into action. Learn to craft stunning visuals, navigate data-driven decisions, and infuse your data with key principles for maximum impact. This book is your roadmap to turning data from mere information into a powerful catalyst for transformation.
£999.99
CRC Press BiteSize Python for Intermediate Learners
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£47.49
CRC Press Random Numbers Unveiled
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£26.99
CRC Press Tic Tac Test
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£14.99
CRC Press Interactive Linear Algebra
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£51.29
CRC Press Univariate Families of Distributions
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£47.49
CRC Press DeepLearningAssisted Statistical Methods with Examples in R
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£47.49
CRC Press Mathematics for Artificial Intelligence
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£999.99
Taylor & Francis Ltd Mastering Geometry Puzzles
Book SynopsisThis book will challenge mathematical skills in a totally different way from the usual geometric puzzles. These 120 puzzles are visually intriguing. Mastering Geometry Puzzles has 5 chapters of puzzles, each one corresponding to a level of difficulty, from the very easy to the very hard.Even if mathematical puzzles are new to the reader, this book is a great place to start. Puzzle solving is not only fun; it will also enhance the reader's understanding of mathematics. More experienced puzzlers will also find very challenging opportunities.There are three types of geometry puzzles in this book:â No shape-based puzzles, i.e., triangles, circles, etc.â General shape-based puzzles, i.e., a hamburger, a bird, etc.â Japanese shape-based puzzles, i.e., a samurai, a bonsai, etc.The first chapter, Solving a Puzzle, offers a typical puzzle, which then is solved step-by-step. It presents how geometry is used to solve it, and the logical thinking leading to the solution.Puzzles should not only be fun in their design, but they should also be fun to solve. Their shape should be appealing to arouse curiosity in the reader. The information given to solve the puzzle should be as minimal as possible, sometimes to the point that the reader might think that it is not possible to solve it. This is part of the challenge of puzzles.All the puzzles have step-by-step solutions. The puzzles can be solved by geometry puzzle lovers of all ages. The puzzler does not need to be an ace in geometry to solve them.A warning: these puzzles can lead to a serious puzzle addiction! Enjoy the challenge!
£26.99
O'Reilly Statistical Tableau
Book SynopsisThis practical book walks intermediate to advanced Tableau users through ways that statistics can help you incorporate decision science into the visualizations you create. Data analysts, business analysts, and business intelligence specialists will greatly benefit from this book.
£38.39
Cambridge University Press Mathematical Methods and Physical Insights
Book SynopsisMathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students'' physical intuition as he guides them through the mathematical methods required to study upper-level physics. Based on the undergraduate Math Methods course he has taught for many years at Occidental College, the text encourages a symbiosis through which the physics illuminates the math, which in turn informs the physics. Appropriate for both classroom and self-study use, the text begins with a review of useful techniques to ensure students are comfortable with prerequisite material. It then moves on to cover vector fields, analytic functions, linear algebra, function spaces, and differential equations. Written in an informal and engaging style, it also includes short supplementary digressions (''By the Ways'') as optional boxes showcasing directions in which the math or physics may be explored further. Extensive problems are included throughout, manTrade Review'Schramm's Mathematical Methods and Physical Insights is a very welcome new textbook in the area of pedagogical mathematical physics. The book contains numerous insightful and helpful examples from classical and modern physics, as well as unusual and interesting applications of the presented mathematical concepts within and beyond physics. I find the 'BTW' inserts, and the lively, unpretentious style of the book both exciting and entertaining. The material discussed in Schramm's textbook covers entirely the scope of our three-trimester-long Mathematical Methods offering, and additionally provides useful background material to 'even out' the often inhomogeneous preparation of students in these classes; I will definitely consider adopting this textbook for my next offerings of Mathematical Methods for Physics here at the University of California, Santa Cruz.' Professor Stefano Profumo, University of California, Santa Cruz'As the title suggests, Schramm's book distinguishes itself from traditional mathematical methods texts in its thematic approach that builds from unit to unit, using rich examples from physical systems that elucidate each topic. A must-read for physicists wanting to expand their mathematical toolkit as well as for mathematicians hoping to gain new insights from the physical world.' Professor Jason Detwiler, University of Washington'For students taking physics courses, one of the difficulties is how to apply appropriate mathematical skills in problem solving (e.g., using integration to find the electric field produced by a continuous charge distribution). This book introduces commonly used mathematical skills from the perspective of a physicist. Focusing on the topics in upper-level physics courses, it provides the mathematical skills for solving problems in each topic. The book is easy to read, and the problems at the end of each chapter offer plenty of exercises for students. The book is a valuable resource for undergraduate students taking upper-level physics courses, and instructors teaching such courses. It could also be a useful reference for graduate students.' Professor Hong Lin, Bates College'Physics and engineering students often struggle with mathematics texts that present the material in an abstract fashion, disconnected from practical applications. Schramm's text represents a refreshing and much needed change. Providing context and intuition throughout, with many worked examples, and in engaging prose, it does more than just explain mathematical methods; it infuses them with meaning and relevance.' Dr. Jochen Rau, RheinMain University of Applied Sciences, GermanyTable of ContentsPreface; Part I. Things You Just Gotta' Know: 1. Prelude: symbiosis; 2. Coordinating coordinates; 3. Complex numbers; 4. Index algebra; 5. Brandishing binomials; 6. Infinite series; 7. Interlude: orbits in a central potential; 8. Ten integration techniques and tricks; 9. The Dirac delta function; 10. Coda: statistical mechanics; Part II. The Calculus of Vector Fields: 11. Prelude: visualizing vector fields; 12. grad, div & curl; 13. Interlude: irrotational and incompressible; 14. Integrating scalar & vector fields; 15. The theorems of Gauss & Stokes; 16. Simply connected regions; 17. Coda: mostly Maxwell; Part III. Calculus in the Complex Plane: 18. Prelude: path independence in the complex plane; 19. Series, singularities & branches; 20. Interlude: conformal mapping; 21. The calculus of residues; 22. Coda: analyticity & causality; Part IV. Linear Algebra: 23. Prelude: superposition; 24. Vector space; 25. The inner product; 26. Interlude: rotations; 27. The Eigenvalue problem; 28. Coda: normal modes; Entr'acte: Tensors; 29. Cartesian tensors; 30. Beyond cartesian; Part V. Orthogonal Functions: 31. Prelude: 1 2 3 . . . infinity; 32. Eponymous polynomials; 33. Fourier series; 34. Convergence and completeness; 35. Interlude: beyond the straight & narrow; 36. Fourier transforms; 37. Coda: of time intervals and frequency bands; Part VI. Differential Equations: 38. Prelude: first order first; 39. Second-order ODEs; 40. Interlude: the Sturm-Liouville Eigenvalue problem; 41. Partial differential equations; 42. Green's functions; 43. Coda: quantum scattering; Appendix A. Curvilinear coordinates; Appendix B. Rotations in R3; Appendix C. The Bessel family of functions; References; Index.
£52.24
Cambridge University Press Mathematical Methods for Physics
Book SynopsisThis detailed yet accessible text introduces the advanced mathematical methods at the core of theoretical physics. Based on a course for senior undergraduate students of physics, it is written in a clear, pedagogical style and would also be valuable to students in other areas of science and engineering.Trade Review'The recent explosive development of topological quantum matter requires a deep systematic understanding of modern mathematics. Quantum many-body entanglement in topological quantum matter is a new phenomenon that requires new mathematical language to describe. This is a rare book that provides systematic and in-depth coverage of some of the most important mathematical concepts, such as groups, geometry, topology and algebra, among others. Many abstract mathematical notions are explained in an easy, explicit fashion. This is an in-depth, friendly book on modern mathematics. Very timely and highly recommended.' Xiao-Gang Wen, Massachusetts Institute of TechnologyTable of Contents1. Introduction; 2. Group theory; 3. Representation theory of groups; 4. Differentiable manifolds; 5. Riemannian geometry; 6. Semisimple Lie algebras and their unitary representations; Appendix A; References; Index.
£42.74
Cambridge University Press Cambridge International AS A Level Mathematics
Book SynopsisThis series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020. Cambridge International AS & A Level Mathematics: Pure Mathematics 1 matches the corresponding unit of the syllabus, with a clear and logical progression through. It contains materials on topics such as quadratics, functions, coordinate geometry, circular measure, series, differentiation and integration. This coursebook contains a variety of features including recap sections for students to check their prior knowledge, detailed explanations and worked examples, end-of-chapter and cross-topic review exercises and ''Explore'' tasks to encourage deeper thinking around mathematical concepts. Answers to coursebook questions are at the back of the book.Table of Contents1. Quadratics; 2. Functions; 3. Coordinate geometry; Cross-topic revision exercise 1; 4. Circular measure; 5. Trigonometry; 6. Series; Cross-topic revision exercise 2; 7. Differentiation; 8. Further differentiation; 9. Integration; Cross-topic revision exercise 3; Practice paper; Answers; Glossary; Index.
£28.50
Cambridge University Press Introductory Econometrics for Finance
Book SynopsisA complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python soTrade Review'Introductory Econometrics for Finance covers a variety of financial applications and illustrates how econometrics methods can be used for each topic. Researchers and practitioners in finance will find this book invaluable. The new fourth edition is expanded with important topics of state space models and extreme value theory. Moreover, a free companion website with various software programs is essential for performing actual empirical analysis. I constantly recommend this text to Masters and undergraduate finance students.' Elena Goldman, Pace University, New York'This is a good book introducing the general field of financial econometrics to students, assuming they have no prior knowledge of econometrics. Undergraduate, as well as beginning graduate, students should find the wide range of topics covered useful for not only getting a good toehold into the literature, but also to be able to apply the methods to data right away.' Prasad V. Bidarkota, Florida International University'Professor Brooks' book provides extraordinarily comprehensive treatment of econometric techniques with application to Finance. The unique feature of this book is the presentation of rich real-world case study examples. This is an ideal text book for MS in Finance, MBA with concentration in Finance and Seniors majoring in Finance. It is also an ideal text book for financial professional training and self-study.' George H. K. Wang, George Mason University, Virginia'Chris Brooks' book is a rather unique offering in the space of financial econometrics because it is specifically targeted to finance students who do not necessarily have prior knowledge of econometric techniques. It's a first yet comprehensive resource to enable students to familiarize with concepts and tackle a broad range of empirical applications.' Walter Distaso, Imperial College London'This new edition of Introductory Econometrics for Finance manages to give even further strength to its exhaustive, fine blend of contents and delivery, of methods and of interesting, relevant applications. This classical but always lively written textbook manages to make modern econometric approaches accessible to a wide audience of senior undergraduates and of graduate students first approaching econometrics, and at the same time leads a more experienced reader to ponder the power of statistics through a number of detailed case studies. The additional, advanced material on the Kalman filter and extreme value theory makes this textbook an invaluable classroom tool for a first approach to financial econometrics.' Massimo Guidolin, Università Commerciale Luigi Bocconi, Milan'This is one of the most readable books on financial econometrics. It will be very useful for students of finance and economics. It covers a wide variety of topics that are of interest to researchers and practitioners, in both academia and industry.' Yong Bao, Purdue University, IndianaTable of ContentsPreface to the fourth edition; 1. Introduction and mathematical foundations; 2. Statistical foundations and dealing with data; 3. A brief overview of the classical linear regression; 4. Further development of classical linear regression; 5. Classical linear regression model assumptions; 6. Univariate time-series modelling and forecasting; 7. Multivariate models; 8. Modelling volatility and correlation; 10. Switching and state space models; 11. Panel data; 12. Limited dependent variable models; 13. Simulation methods; 14. Additional econometric techniques for financial research; 15. Conducting empirical research; Appendix 1. Sources of data used in this book and the accompanying software manuals; Appendix 2. Tables of statistical distributions; Glossary; References; Index.
£49.39
Cambridge University Press Cambridge International AS A Level Mathematics
Book SynopsisThis series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.Table of ContentsIntroduction; 1. Algebra; 2. Logarithms; 3. Trigonometry; 4. Differentiation; 5. Integration; 6. Numerical solutions; 7. Further algebra; 8. Further calculus; 9. Vectors; 10. Differential equations; 11. Complex numbers; Answers
£14.75
Cambridge University Press The Mordell Conjecture
Book SynopsisThe Mordell conjecture (Faltings''s theorem) is one of the most important achievements in Diophantine geometry, stating that an algebraic curve of genus at least two has only finitely many rational points. This book provides a self-contained and detailed proof of the Mordell conjecture following the papers of Bombieri and Vojta. Also acting as a concise introduction to Diophantine geometry, the text starts from basics of algebraic number theory, touches on several important theorems and techniques (including the theory of heights, the MordellWeil theorem, Siegel''s lemma and Roth''s lemma) from Diophantine geometry, and culminates in the proof of the Mordell conjecture. Based on the authors'' own teaching experience, it will be of great value to advanced undergraduate and graduate students in algebraic geometry and number theory, as well as researchers interested in Diophantine geometry as a whole.Trade Review'This lucid compact book provides a short and direct access to Vojta-Bombieri's proof of Faltings's celebrated theorem. The text itself is mostly self-contained, with all needed results on diophantine geometry presented without unnecessary abstraction, in as concrete a manner as possible. Without doubt, this excellent course will become a standard for anyone wishing to be introduced to the topic of rational points on curves over the rational numbers, and to one of the crowning achievements of the mathematics of our time.' Vincent Maillot, Centre National de la Recherche Scientifique (CNRS), Paris'In less than 200 pages, the authors have given a complete treatment to the two most important results in diophantine geometry in the last 100 years: the Mordell–Weil theorem and Faltings's theorem. This will be a wonderful reference for everybody interested in diophantine geometry with minimal background in number theory and algebraic geometry.' Shou-Wu Zhang, Princeton University'This book is a comprehensive introduction, with plenty of motivations, to Mordell conjecture - a deep theorem of Faltings that has far-reaching influences in modern diophantine geometry. Knowledge of algebraic number theory and height theory is considerately refreshed, and the proof of the Mordell conjecture is meticulously structured with all details, which are most helpful for beginners. More experienced readers will appreciate the insights of the authors into the problem and into the domain of diophantine geometry.' Huayi Chen, University of Paris, Mathematics Institute of Jussieu–Paris Rive GaucheTable of Contents1. What is the Mordell conjecture?; 2. Some basics of algebraic number theory; 3. Theory of heights; 4. Preliminaries; 5. The proof of Falthing's theorem.
£59.84
Cambridge University Press Algebra
Book SynopsisFrom rings to modules to groups to fields, this undergraduate introduction to abstract algebra follows an unconventional path. The text emphasizes a modern perspective on the subject, with gentle mentions of the unifying categorical principles underlying the various constructions and the role of universal properties. A key feature is the treatment of modules, including a proof of the classification theorem for finitely generated modules over Euclidean domains. Noetherian modules and some of the language of exact complexes are introduced. In addition, standard topics - such as the Chinese Remainder Theorem, the Gauss Lemma, the Sylow Theorems, simplicity of alternating groups, standard results on field extensions, and the Fundamental Theorem of Galois Theory - are all treated in detail. Students will appreciate the text''s conversational style, 400+ exercises, an appendix with complete solutions to around 150 of the main text problems, and an appendix with general background on basic loTrade Review'I highly recommend this excellent textbook for undergraduate algebra classes. The book features the 'rings-first' approach which I personally strongly prefer to the traditional 'groups-first' in an undergraduate class. The exposition is highly conceptual, mathematically neat and rigorous. A slight bias toward algebraic geometry and number theory is another advantage. The textbook can be fully covered within two semesters of undergraduate algebra providing the students with a rock solid foundation for further education in any algebra-related area of math: the breadth and depth of the coverage of all standard undergraduate algebra ideas and topics are just right.' Pavel Guerzhoy, University of Hawaii at Manoa'Aluffi's Algebra: Notes from the Underground will modernize the teaching of undergraduate algebra, much like his earlier book Algebra: Chapter 0 did for graduate algebra. The book emphasizes the aspects and mindset of the subject most relevant to current researchers in mathematics. The standard material covered in undergraduate algebra is very well-presented and is supplemented with numerous interesting applications to other fields such as algebraic geometry and number theory. The book maintains a conversational tone throughout and teaches the reader universal properties and the modern categorical viewpoint by infusion. This is an excellent book for a year-long undergraduate course in algebra and will bridge the gap between undergraduate and graduate courses on the subject. A wealth of well-chosen exercises and detailed solutions make this book an invaluable resource for self-study.' Izzet Coskun, University of Illinois at Chicago'Algebra: Notes from the Underground is the modern introduction to abstract algebra that mathematics has been missing. Paolo Aluffi invites students to fall in love with rings, modules, abelian groups, groups, and fields through a beautifully written tour that is equally suited for self-study or for a two-semester undergraduate course.' Emily Riehl, Johns Hopkins University'For anyone planning to teach an undergraduate abstract algebra class anytime soon I strongly recommend the book under review. I have nothing but praise for this book. … What really sets this text apart is Aluffi's writing style. His book has a remarkable narrative drive, and he is constantly reminding the reader of the big picture and tossing out tantalizing hints of what lies ahead.' John J. Watkins, MathSciNetTable of ContentsPart I. Rings: 1. The integers; 2. Modular arithmetic; 3. Rings; 4. The category of rings; 5. Canonical decomposition, quotients, and isomorphism theorems; 6. Integral domains; 7. Polynomial rings and factorization; Part II. Modules: 8. Modules and abelian groups; 9. Modules over integral domains; 10. Abelian groups; Part III. Groups: 11. Groups – preliminaries; 12. Basic results on finite groups; Part IV. Fields: 13. Field extensions; 14. Normal and separable extensions, and splitting fields; 15. Galois theory.
£30.99
Wiley Methods in Social Epidemiology
Book SynopsisA thorough, practical reference on the social patterns behind health outcomes Methods in Social Epidemiology provides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health.Table of ContentsTables and Figures xi About the Editors xvii About the Authors xix Preface xxvii 1 Introduction: Advancing Methods in Social Epidemiology 1 Jay S. Kaufman and J. Michael Oakes Part One: Measures and Measurement 21 2 The Measurement of Socioeconomic Status 23 J. Michael Oakes and Kate E. Andrade 3 Measuring and Analyzing “Race,” Racism, and Racial Discrimination 43 Saffron Karlsen and James Yzet Nazroo 4 Measuring Poverty 69 David M. Betson and Jennifer L. Warlick 5 Health Inequalities: Measurement and Decomposition 91 Sam Harper and John Lynch 6 A Conceptual Framework for Measuring Segregation and Its Association with Population Outcomes 132 Sean F. Reardon 7 Measures of Residential Community Contexts 158 Patricia O’Campo and Margaret O’Brien Caughy Part Two: Design and Analysis 177 8 Community-Based Participatory Research: Rationale and Relevance for Social Epidemiology 179 Paula M. Lantz, Barbara A. Israel, Amy J. Schulz, and Angela G. Reyes 9 Social Network Analysis for Epidemiology 212 David A. Shoham and Lynne C. Messer 10 Fieldwork with In-Depth Interviews: How to Get Strangers in the City to Tell You Their Stories 239 Melody L. Boyd and Stefanie DeLuca 11 Experimental Social Epidemiology: Controlled Community Trials 254 Peter J. Hannan 12 Propensity Score Matching for Social Epidemiology 283 J. Michael Oakes and Pamela Jo Johnson 13 Longitudinal Approaches to Social Epidemiologic Research 308 Magdalena Cerdá and Katherine M. Keyes 14 Fixed Effects and Difference-in-Differences 341 Erin C. Strumpf, Sam Harper, and Jay S. Kaufman 15 Fixed Versus Random Effects Models for Multilevel and Longitudinal Data 369 Ashley Schempf Hirai and Jay S. Kaufman 16 Mediation Analysis in Social Epidemiology 398 Arijit Nandi and Tyler J. VanderWeele 17 A Roadmap for Estimating and Interpreting Population Intervention Parameters 432 Jennifer Ahern and Alan E. Hubbard 18 Using Causal Diagrams to Understand Common Problems in Social Epidemiology 458 M. Maria Glymour 19 Natural Experiments and Instrumental Variables Analyses in Social Epidemiology 493 M. Maria Glymour, Stefan Walter, and Eric J. Tchetgen Tchetgen Index 539
£70.00
John Wiley & Sons Inc Foundations of Linear and Generalized Linear
Book SynopsisA valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models.Trade Review"The book arose from a one-semester graduate level course taught by Alan Agresti at Harvard University. It has a clear didactic focus, which benefits greatly from Agresti’s well-known clear writing style. Each of the 11 chapters is followed by around 40 exercises, which are diverse and interesting." "...I am very happy with the foundational perspective of this book. I think that students who master this material will have a very thorough understanding of the most important aspects of GLMs, which is more valuable than a kaleidoscopic knowledge. This is certainly one of the books I will consider when next I need to teach a course in generalized linear models." "...this is a great introduction to GLMs written in a clear and didactic style, and with a thoughtful choice and presentation of the material. Highly recommended."--Biometrics Journal, 2016"This book is an essential reference for anyone working with or teaching GLMs." (Mathematical Association of America, 2016) Table of ContentsPreface xi 1 Introduction to Linear and Generalized Linear Models 1 1.1 Components of a Generalized Linear Model 2 1.2 Quantitative/Qualitative Explanatory Variables and Interpreting Effects 6 1.3 Model Matrices and Model Vector Spaces 10 1.4 Identifiability and Estimability 13 1.5 Example: Using Software to Fit a GLM 15 Chapter Notes 20 Exercises 21 2 Linear Models: Least Squares Theory 26 2.1 Least Squares Model Fitting 27 2.2 Projections of Data Onto Model Spaces 33 2.3 Linear Model Examples: Projections and SS Decompositions 41 2.4 Summarizing Variability in a Linear Model 49 2.5 Residuals Leverage and Influence 56 2.6 Example: Summarizing the Fit of a Linear Model 62 2.7 Optimality of Least Squares and Generalized Least Squares 67 Chapter Notes 71 Exercises 71 3 Normal Linear Models: Statistical Inference 80 3.1 Distribution Theory for Normal Variates 81 3.2 Significance Tests for Normal Linear Models 86 3.3 Confidence Intervals and Prediction Intervals for Normal Linear Models 95 3.4 Example: Normal Linear Model Inference 99 3.5 Multiple Comparisons: Bonferroni Tukey and FDR Methods 107 Chapter Notes 111 Exercises 112 4 Generalized Linear Models: Model Fitting and Inference 120 4.1 Exponential Dispersion Family Distributions for a GLM 120 4.2 Likelihood and Asymptotic Distributions for GLMs 123 4.3 Likelihood-Ratio/Wald/Score Methods of Inference for GLM Parameters 128 4.4 Deviance of a GLM Model Comparison and Model Checking 132 4.5 Fitting Generalized Linear Models 138 4.6 Selecting Explanatory Variables for a GLM 143 4.7 Example: Building a GLM 149 Appendix: GLM Analogs of Orthogonality Results for Linear Models 156 Chapter Notes 158 Exercises 159 5 Models for Binary Data 165 5.1 Link Functions for Binary Data 165 5.2 Logistic Regression: Properties and Interpretations 168 5.3 Inference About Parameters of Logistic Regression Models 172 5.4 Logistic Regression Model Fitting 176 5.5 Deviance and Goodness of Fit for Binary GLMs 179 5.6 Probit and Complementary Log–Log Models 183 5.7 Examples: Binary Data Modeling 186 Chapter Notes 193 Exercises 194 6 Multinomial Response Models 202 6.1 Nominal Responses: Baseline-Category Logit Models 203 6.2 Ordinal Responses: Cumulative Logit and Probit Models 209 6.3 Examples: Nominal and Ordinal Responses 216 Chapter Notes 223 Exercises 223 7 Models for Count Data 228 7.1 Poisson GLMs for Counts and Rates 229 7.2 Poisson/Multinomial Models for Contingency Tables 235 7.3 Negative Binomial GLMS 247 7.4 Models for Zero-Inflated Data 250 7.5 Example: Modeling Count Data 254 Chapter Notes 259 Exercises 260 8 Quasi-Likelihood Methods 268 8.1 Variance Inflation for Overdispersed Poisson and Binomial GLMs 269 8.2 Beta-Binomial Models and Quasi-Likelihood Alternatives 272 8.3 Quasi-Likelihood and Model Misspecification 278 Chapter Notes 282 Exercises 282 9 Modeling Correlated Responses 286 9.1 Marginal Models and Models with Random Effects 287 9.2 Normal Linear Mixed Models 294 9.3 Fitting and Prediction for Normal Linear Mixed Models 302 9.4 Binomial and Poisson GLMMs 307 9.5 GLMM Fitting Inference and Prediction 311 9.6 Marginal Modeling and Generalized Estimating Equations 314 9.7 Example: Modeling Correlated Survey Responses 319 Chapter Notes 322 Exercises 324 10 Bayesian Linear and Generalized Linear Modeling 333 10.1 The Bayesian Approach to Statistical Inference 333 10.2 Bayesian Linear Models 340 10.3 Bayesian Generalized Linear Models 347 10.4 Empirical Bayes and Hierarchical Bayes Modeling 351 Chapter Notes 357 Exercises 359 11 Extensions of Generalized Linear Models 364 11.1 Robust Regression and Regularization Methods for Fitting Models 365 11.2 Modeling With Large p 375 11.3 Smoothing Generalized Additive Models and Other GLM Extensions 378 Chapter Notes 386 Exercises 388 Appendix A Supplemental Data Analysis Exercises 391 Appendix B Solution Outlines for Selected Exercises 396 References 410 Author Index 427 Example Index 433 Subject Index 435
£95.36
John Wiley & Sons Inc Building Information Modeling For Dummies
Book SynopsisOffers what you need to make the most of building information modeling. If you're looking to get involved in the world of BIM, but don't quite know where to start, this book helps you in collaborative building using one coherent system of computer models rather than as separate sets of drawings.Trade Review“Building Information Modeling For Dummies is an excellent reference on current state-of-the-art BIM processes.” (3D Visualization World, November 2015)Table of ContentsIntroduction 1 Part I: Getting Started with Building Information Modeling 5 Chapter 1: Defining Building Information Modeling (BIM) 7 Chapter 2: Explaining the Building Part of BIM: It’s Not Just Buildings 15 Chapter 3: Examining the Information Part of BIM 25 Chapter 4: Discussing the Modeling Part of BIM (and Management Too) 41 Chapter 5: Grasping the Fundamentals and Understanding What BIM Is 51 Part II: Creating the Foundations for BIM 69 Chapter 6: Looking at the Digital World Around You 71 Chapter 7: Preparing the Foundations for BIM 89 Chapter 8: Setting Up a Collaborative BIM Workflow 105 Part III: Understanding BIM Requirements and Developing BIM Processes 121 Chapter 9: Mandating BIM in the UK and across the Globe 123 Chapter 10: Standardizing the Modeling of BIM Objects 149 Chapter 11: Collaborating through BIM Requirements 171 Chapter 12: Encouraging BIM in Your Office or On‐Site 187 Chapter 13: Developing BIM Plans and Strategies 203 Chapter 14: Considering the Issues that BIM Presents 219 Part IV: Measuring the Real‐World Benefits of BIM 233 Chapter 15: Evaluating BIM Benefits and Investment 235 Chapter 16: Using BIM On‐Site and BIM for Health and Safety 247 Chapter 17: Identifying All the Users of BIM 265 Part V: Exploring the Future of BIM 285 Chapter 18: Building the Future of Construction 287 Chapter 19: Eyeing the Possibilities: The Future of BIM 303 Chapter 20: Forecasting How New Technology Will Drive BIM 321 Part VI: The Part of Tens 335 Chapter 21: Ten Types of BIM Tools, Software, and Platforms to Consider 337 Chapter 22: Ten of the Best BIM Resources 341 Chapter 23: Ten (or So) Myth‐Busting Questions and Answers 349 Appendix A: Glossary 355 Appendix B: Your Handy BIM Checklist 363 Appendix C: Examining BIM and Education 365 Index 369
£23.79
