{"product_id":"probability-statistics-and-stochastic-processes-hardback-9780470889749","title":"Probability, Statistics, and Stochastic Processes (Hardback) 9780470889749","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eProbability, Statistics, and Stochastic Processes\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003ePeter Olofsson (Author), Mikael Andersson (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470889749, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 June 2012\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e576 pages, Drawings: 0 B\u0026amp;W, 0 Color; Tables: 0 B\u0026amp;W, 0 Color; Graphs: 50 B\u0026amp;W, 0 Color\u003cbr\u003e24.1 x 15.5 x 3.3 cm, 0.93 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\". . . an excellent textbook . . . well organized and neatly written.\"\u003cbr\u003e —\u003cb\u003e\u003ci\u003eMathematical Reviews\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\". . . amazingly interesting . . .\"\u003cbr\u003e —\u003cb\u003e\u003ci\u003eTechnometrics\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, \u003ci\u003eProbability, Statistics, and Stochastic Processes\u003c\/i\u003e, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields.\u003c\/p\u003e \u003cp\u003eBeginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eConsistency of point estimators\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eLarge sample theory\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eBootstrap simulation\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMultiple hypothesis testing\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eFisher's exact test and Kolmogorov-Smirnov test\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMartingales, renewal processes, and Brownian motion\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eOne-way analysis of variance and the general linear model\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eExtensively class-tested to ensure an accessible presentation, \u003ci\u003eProbability, Statistics, and Stochastic Processes\u003c\/i\u003e, Second Edition is an excellent book for courses on probability and statistics at the upper-undergraduate level. The book is also an ideal resource for scientists and engineers in the fields of statistics, mathematics, industrial management, and engineering.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003ePreface xi\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePreface to the First Edition xiii\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Basic Probability Theory 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Sample Spaces and Events 3\u003c\/p\u003e \u003cp\u003e1.3 The Axioms of Probability 7\u003c\/p\u003e \u003cp\u003e1.4 Finite Sample Spaces and Combinatorics 15\u003c\/p\u003e \u003cp\u003e1.4.1 Combinatorics 17\u003c\/p\u003e \u003cp\u003e1.5 Conditional Probability and Independence 27\u003c\/p\u003e \u003cp\u003e1.6 The Law of Total Probability and Bayes’ Formula 41\u003c\/p\u003e \u003cp\u003eProblems 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Random Variables 76\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 76\u003c\/p\u003e \u003cp\u003e2.2 Discrete Random Variables 77\u003c\/p\u003e \u003cp\u003e2.3 Continuous Random Variables 82\u003c\/p\u003e \u003cp\u003e2.4 Expected Value and Variance 95\u003c\/p\u003e \u003cp\u003e2.5 Special Discrete Distributions 111\u003c\/p\u003e \u003cp\u003e2.6 The Exponential Distribution 123\u003c\/p\u003e \u003cp\u003e2.7 The Normal Distribution 127\u003c\/p\u003e \u003cp\u003e2.8 Other Distributions 131\u003c\/p\u003e \u003cp\u003e2.9 Location Parameters 137\u003c\/p\u003e \u003cp\u003e2.10 The Failure Rate Function 139\u003c\/p\u003e \u003cp\u003eProblems 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Joint Distributions 156\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 156\u003c\/p\u003e \u003cp\u003e3.2 The Joint Distribution Function 156\u003c\/p\u003e \u003cp\u003e3.3 Discrete Random Vectors 158\u003c\/p\u003e \u003cp\u003e3.4 Jointly Continuous Random Vectors 160\u003c\/p\u003e \u003cp\u003e3.5 Conditional Distributions and Independence 164\u003c\/p\u003e \u003cp\u003e3.5.1 Independent Random Variables 168\u003c\/p\u003e \u003cp\u003e3.6 Functions of Random Vectors 172\u003c\/p\u003e \u003cp\u003e3.7 Conditional Expectation 185\u003c\/p\u003e \u003cp\u003e3.8 Covariance and Correlation 196\u003c\/p\u003e \u003cp\u003e3.9 The Bivariate Normal Distribution 209\u003c\/p\u003e \u003cp\u003e3.10 Multidimensional Random Vectors 216\u003c\/p\u003e \u003cp\u003e3.11 Generating Functions 231\u003c\/p\u003e \u003cp\u003e3.12 The Poisson Process 240\u003c\/p\u003e \u003cp\u003eProblems 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Limit Theorems 263\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 263\u003c\/p\u003e \u003cp\u003e4.2 The Law of Large Numbers 264\u003c\/p\u003e \u003cp\u003e4.3 The Central Limit Theorem 268\u003c\/p\u003e \u003cp\u003e4.4 Convergence in Distribution 275\u003c\/p\u003e \u003cp\u003eProblems 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Simulation 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 281\u003c\/p\u003e \u003cp\u003e5.2 Random Number Generation 282\u003c\/p\u003e \u003cp\u003e5.3 Simulation of Discrete Distributions 283\u003c\/p\u003e \u003cp\u003e5.4 Simulation of Continuous Distributions 285\u003c\/p\u003e \u003cp\u003e5.5 Miscellaneous 290\u003c\/p\u003e \u003cp\u003eProblems 292\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Statistical Inference 294\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 294\u003c\/p\u003e \u003cp\u003e6.2 Point Estimators 294\u003c\/p\u003e \u003cp\u003e6.3 Confidence Intervals 304\u003c\/p\u003e \u003cp\u003e6.4 Estimation Methods 312\u003c\/p\u003e \u003cp\u003e6.5 Hypothesis Testing 327\u003c\/p\u003e \u003cp\u003e6.6 Further Topics in Hypothesis Testing 334\u003c\/p\u003e \u003cp\u003e6.7 Goodness of Fit 339\u003c\/p\u003e \u003cp\u003e6.8 Bayesian Statistics 351\u003c\/p\u003e \u003cp\u003e6.9 Nonparametric Methods 363\u003c\/p\u003e \u003cp\u003eProblems 378\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Linear Models 391\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 391\u003c\/p\u003e \u003cp\u003e7.2 Sampling Distributions 392\u003c\/p\u003e \u003cp\u003e7.3 Single Sample Inference 395\u003c\/p\u003e \u003cp\u003e7.4 Comparing Two Samples 402\u003c\/p\u003e \u003cp\u003e7.5 Analysis of Variance 409\u003c\/p\u003e \u003cp\u003e7.6 Linear Regression 415\u003c\/p\u003e \u003cp\u003e7.7 The General Linear Model 431\u003c\/p\u003e \u003cp\u003eProblems 436\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Stochastic Processes 444\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 444\u003c\/p\u003e \u003cp\u003e8.2 Discrete -Time Markov Chains 445\u003c\/p\u003e \u003cp\u003e8.3 Random Walks and Branching Processes 464\u003c\/p\u003e \u003cp\u003e8.4 Continuous -Time Markov Chains 475\u003c\/p\u003e \u003cp\u003e8.5 Martingales 494\u003c\/p\u003e \u003cp\u003e8.6 Renewal Processes 502\u003c\/p\u003e \u003cp\u003e8.7 Brownian Motion 509\u003c\/p\u003e \u003cp\u003eProblems 517\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A Tables 527\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B Answers to Selected Problems 535\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eFurther Reading 551\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex 553\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand 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