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Probability and Statistical Inference. Book Condition:GOOD. All of our paper waste is recycled within the UK and turned into corrugated cardboard. World of Books USA was founded in 2005. We all like the idea of saving a bit of cash, so when we found out how many good quality used products are out there - we just had to let you know!
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About this product
Product Identifiers
PublisherPearson Education
ISBN-100321923278
ISBN-139780321923271
eBay Product ID (ePID)177666411
Product Key Features
Number of Pages552 Pages
Publication NameProbability and Statistical Inference
LanguageEnglish
Publication Year2013
SubjectProbability & Statistics / General
TypeTextbook
Subject AreaMathematics
AuthorDale Zimmerman, Robert Hogg, Elliot Tanis
FormatHardcover
Dimensions
Item Height1.1 in
Item Weight42.4 Oz
Item Length10.1 in
Item Width8.3 in
Additional Product Features
Edition Number9
Intended AudienceCollege Audience
Table Of ContentPreface Prologue 1. Probability 1.1 Properties of Probability 1.2 Methods of Enumeration 1.3 Conditional Probability 1.4 Independent Events 1.5 Bayes'' Theorem 2. Discrete Distributions 2.1 Random Variables of the Discrete Type 2.2 Mathematical Expectation 2.3 Special Mathematical Expectations 2.4 The Binomial Distribution 2.5 The Negative Binomial Distribution 2.6 The Poisson Distribution 3. Continuous Distributions 3.1 Random Variables of the Continuous Type 3.2 The Exponential, Gamma, and Chi-Square Distributions 3.3 The Normal Distribution 3.4 Additional Models 4. Bivariate Distributions 4.1 Bivariate Distributions of the Discrete Type 4.2 The Correlation Coe±cient 4.3 Conditional Distributions 4.4 Bivariate Distributions of the Continuous Type 4.5 The Bivariate Normal Distribution 5. Distributions of Functions of Random Variables 5.1 Functions of One Random Variable 5.2 Transformations of Two Random Variables 5.3 Several Random Variables 5.4 The Moment-Generating Function Technique 5.5 Random Functions Associated with Normal Distributions 5.6 The Central Limit Theorem 5.7 Approximations for Discrete Distributions 5.8 Chebyshev''s Inequality and Convergence in Probability 5.9 Limiting Moment-Generating Functions 6. Point Estimation 6.1 Descriptive Statistics 6.2 Exploratory Data Analysis 6.3 Order Statistics 6.4 Maximum Likelihood Estimation 6.5 A Simple Regression Problem 6.6 Asymptotic Distributions of Maximum Likelihood Estimators 6.7 Su±cient Statistics 6.8 Bayesian Estimation 6.9 More Bayesian Concepts 7. Interval Estimation 7.1 Confidence Intervals for Means 7.2 Confidence Intervals for the Di®erence of Two Means 7.3 Confidence Intervals for Proportions 7.4 Sample Size 7.5 Distribution-Free Confidence Intervals for Percentiles 7.6 More Regression 7.7 Resampling Methods 8. Tests of Statistical Hypotheses 8.1 Tests about One Mean 8.2 Tests of the Equality of Two Means 8.3 Tests about Proportions 8.4 The Wilcoxon Tests 8.5 Power of a Statistical Test 8.6 Best Critical Regions 8.7 Likelihood Ratio Tests 9. More Tests 9.1 Chi-Square Goodness-of-Fit Tests 9.2 Contingency Tables 9.3 One-Factor Analysis of Variance 9.4 Two-Way Analysis of Variance 9.5 General Factorial and 2k Factorial Designs 9.6 Tests Concerning Regression and Correlation 9.7 Statistical Quality Control Epilogue A. References B. Tables C. Answers to Odd-Numbered Exercises D. Review of Selected Mathematical Techniques Index
SynopsisNormal 0 false false false Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts., Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts., Normal 0 false false false Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. KEY TOPICS: Probability; Discrete Distributions; Continuous Distributions; Bivariate Distributions; Distributions of Functions of Random Variables; Point Estimation; Interval Estimation; Tests of Statistical Hypotheses; More Tests MARKET: For all readers interested in probability and statistical interference., For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required. Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.
This global edition has the same content as the original edition and is 4.7 times CHEAPER than the U.S. edition
This global edition of the Pearson Prob. & Stat. text has the same content as the U.S. version. It is a paperback text which makes it way lighter than the hardcover version that many of my colleagues own. I would definitely recommend this book to anyone studying Stats.