Probability and statistics Books
Cambridge University Press LMS 79 Probability Stats Analys London Mathematical Society Lecture Note Series Series Number 79
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£61.71
Cambridge University Press The Design of Experiments Statistical Principles For Practical Applications
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£85.49
Cambridge University Press LMS 67 Classification Problems London Mathematical Society Lecture Note Series Series Number 67
Book SynopsisThe isomorphism problem of ergodic theory has been extensively studied since Kolmogorov's introduction of entropy into the subject and especially since Ornstein's solution for Bernoulli processes. Much of this research has been in the abstract measure-theoretic setting of pure ergodic theory. However, there has been growing interest in isomorphisms of a more restrictive and perhaps more realistic nature which recognize and respect the state structure of processes in various ways. These notes give an account of some recent developments in this direction. A special feature is the frequent use of the information function as an invariant in a variety of special isomorphism problems. Lecturers and postgraduates in mathematics and research workers in communication engineering will find this book of use and interest.Table of Contents1. Introduction; 2. The Information Cocycle; 3. Finitary Isomorphisms; 4. Block-codes; 5. Classifications of Topological Markov Chains.
£45.16
Cambridge University Press Principles of Statistical Techniques
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£31.34
Cambridge University Press Introduction to Probability and Statistics from a Bayesian Viewpoint
Book SynopsisThe two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks. The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of theTable of Contents1. Probability; 2. Probability distributions: one variable; 3. Probability distributions: several variables; 4. Stochastic processes.
£41.79
Cambridge University Press The Foundations of Topological Analysis
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£42.74
Cambridge University Press Product Integration with Application to Differential Equations 10 Encyclopedia of Mathematics and its Applications Series Number 10
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£105.45
Cambridge University Press Individual Forecasting and Aggregate Outcomes
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£46.54
Cambridge University Press Forecasting Structural Time Series Models the Kalman Filter
Book SynopsisThis book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.Trade Review'… if you're looking for a state of the art monograph on applied aspects of state-space representations, and Kalman filtering … then Harvey's book is required reading.' Econometric TheoryTable of ContentsList of figures; Acknowledgement; Preface; Notation and conventions; List of abbreviations; 1. Introduction; 2. Univariate time series models; 3. State space models and the Kalman filter; 4. Estimation, prediction and smoothing for univariate structural time series models; 5. Testing and model selection; 6. Extensions of the univariate model; 7. Explanatory variables; 8. Multivariate models; 9. Continuous time; Appendices; Selected answers to exercises; References; Author index; Subject index.
£125.48
Cambridge University Press Econometrics of Qualitative Dependent Variables
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£85.49
Cambridge University Press Lectures on Stochastic Analysis Diffusion Theory
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£25.64
Cambridge University Press LMS 115 Independence for Analysts London Mathematical Society Lecture Note Series Series Number 115
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£61.71
Cambridge University Press Factorization Calculus and Geometric Probability 33 Encyclopedia of Mathematics and its Applications Series Number 33
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£95.95
Cambridge University Press LMS 127 New Directions Dynamical London Mathematical Society Lecture Note Series Series Number 127
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£61.71
Cambridge University Press Summing and Nuclear Norms in Banach Space Theory 8 London Mathematical Society Student Texts Series Number 8
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£41.79
Cambridge University Press Stopping Times and Directed Processes 47 Encyclopedia of Mathematics and its Applications Series Number 47
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£131.10
Cambridge University Press Spectral Analysis for Physical Applications
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£190.95
Cambridge University Press Computational Methods for Integral Equations
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£45.59
Cambridge University Press Nonstandard Analysis and its Applications 10 London Mathematical Society Student Texts Series Number 10
Book SynopsisThis textbook is an introduction to non-standard analysis and to its many applications. Non standard analysis (NSA) is a subject of great research interest both in its own right and as a tool for answering questions in subjects such as functional analysis, probability, mathematical physics and topology. The book arises from a conference held in July 1986 at the University of Hull which was designed to provide both an introduction to the subject through introductory lectures, and surveys of the state of research. The first part of the book is devoted to the introductory lectures and the second part consists of presentations of applications of NSA to dynamical systems, topology, automata and orderings on words, the non- linear Boltzmann equation and integration on non-standard hulls of vector lattices. One of the book's attractions is that a standard notation is used throughout so the underlying theory is easily applied in a number of different settings. Consequently this book will be idTable of ContentsPreface; Contributors; 1. An invitation to non standard analysis Tom Lindstrøm; 2. Infinitesimal in probability theory H. Jerome Keisler; 3. Infinitesimals in functional analysis C. Ward Henson; 4. Applications of non standard analysis in mathematical physics Sergio Albervio; 5. A lattice formulation of real and vector valued integrals Peter A. Loeb; 6. An application of non standard methods to computational group theory B. Benninghofen and M.M. Richter; 7. Syntactical methods in infinitesimal analysis Francine Deiner and Keith D. Stroyan; 8. Some asymptotic results in ordinary differential equations Francine and Marc Diener; 9. Superinfinitesimals and inductive limits Keith D. Stroyan; 10. The non-linear boltzmann equation far from equilibrium Leif Arkeryd; Index.
£54.14
Cambridge University Press LMS 135 Operator Algebras v1 Volume 1 Structure Theory KTheory Geometry and Topology London Mathematical Society Lecture Note Series Series Number 135
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£61.71
Cambridge University Press LMS 136 Operator Algebras v2 Volume 2 Mathematical Physics and Subfactors London Mathematical Society Lecture Note Series Series Number 136
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£60.89
Cambridge University Press LMS 142 Geometry of Jet Bundles London Mathematical Society Lecture Note Series Series Number 142
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£78.28
Cambridge University Press Biological Kinetics 12 Cambridge Studies in Mathematical Biology Series Number 12
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£79.79
Cambridge University Press B Nard Cells and Taylor Vortices
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£122.55
Cambridge University Press Forecasting Structural Time Series Models and the Kalman Filter
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£36.09
Cambridge University Press LMS 162 Harmonic Analysis Theory London Mathematical Society Lecture Note Series Series Number 162
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£50.95
Cambridge University Press stochasticanalysisproceedingsofthedurhamsymposiumonstochasticanalysis
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£74.13
Cambridge University Press Applied Nonparametric Regression
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£36.87
Cambridge University Press Scaling Selfsimilarity and Intermediate Asymptotics Dimensional Analysis and Intermediate Asymptotics 14 Cambridge Texts in Applied Mathematics Series Number 14
Book SynopsisScaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially simplifies the mathematical modelling of the phenomena themselves. This book begins from a non-traditional exposition of dimensional analysis, physical similarity theory, and general theory of scaling phenomena, using classical examples to demonstrate that the onset of scaling is not until the influence of initial and/or boundary conditions has disappeared but when the system is still far from equilibrium. Numerous examples from a diverse range of fields, including theoretical biology, fracture mechanics, atmospheric and oceanic phenomena, and flame propagation, are presented for which the ideas of scaling, intermediate asymptotics, self-similarity, and renormalisation were of decisive value in modelling.Trade Review'A splendid and very readable work … Greatly recommended!' Sjoerd Rienstra, ITW NieuwsTable of ContentsPreface; Introduction; 1. Dimensions, dimensional analysis and similarity; 2. The application of dimensional analysis to the construction of intermediate asymptotic solutions to problems of mathematical physics. Self-similar solutions; 3. Self-similarities of the second kind: first examples; 4. Self-similarities of the second kind: further examples; 5. Classification of similarity rules and self-similarity solutions. Recipe for application of similarity analysis; 6. Scaling and transformation groups. Renormalization groups. 7. Self-similar solutions and travelling waves; 8. Invariant solutions: special problems of the theory; 9. Scaling in deformation and fracture in solids; 10. Scaling in turbulence; 11. Scaling in geophysical fluid dynamics; 12. Scaling: miscellaneous special problems.
£72.19
Cambridge University Press Spectral Analysis for Physical Applications Multitaper and Conventional Univariate Techniques
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£82.64
Cambridge University Press Numerical Recipes in Fortran Example Book The Art Of Scientific Computing
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£40.84
Cambridge University Press Random Graphs 53 Encyclopedia of Mathematics and its Applications Series Number 53
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£95.95
Cambridge University Press Acta Numerica 1993 Volume 2 Acta Numerica Series Number 2
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£85.50
Cambridge University Press Creating Modern Probability
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£76.94
Cambridge University Press Neural Networks and Qualitative Physics
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£114.95
Cambridge University Press Observing Interaction
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£95.00
Cambridge University Press Combinatorial Methods in Discrete Mathematics 55 Encyclopedia of Mathematics and its Applications Series Number 55
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£105.45
Cambridge University Press LMS 194 Independnt Random Variable London Mathematical Society Lecture Note Series Series Number 194
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£45.16
Cambridge University Press Some Random Series Functions 2ed 5 Cambridge Studies in Advanced Mathematics Series Number 5
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£66.49
Cambridge University Press Statistical Analysis Spherical Data
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£75.99
Cambridge University Press Sampling and Statistical Methods for Behavioral Ecologists
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£40.84
Cambridge University Press Complexity Knots Colourings and Countings 186 London Mathematical Society Lecture Note Series Series Number 186
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£57.57
Cambridge University Press Topics in the Constructive Theory of Countable Markov Chains
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£104.50
Cambridge University Press Statistical Methods in Biology
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£42.74
Cambridge University Press Complexity and Information
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£42.74
Cambridge University Press Geometric Scattering Theory
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£82.64
Cambridge University Press Generalised EulerJacobi Inversion Formula and Asymptotics beyond All Orders 214 London Mathematical Society Lecture Note Series Series Number 214
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£47.63
Cambridge University Press Geometric Scattering Theory 1 Stanford Lectures Distinguished Visiting Lecturers in Mathematics Series Number 1
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£33.24