Introduction to Bayesian Statistics / Edition 1

Introduction to Bayesian Statistics / Edition 1

by William M. Bolstad
     
 

ISBN-10: 0471270202

ISBN-13: 9780471270201

Pub. Date: 03/19/2004

Publisher: Wiley

There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem.…  See more details below

Overview

There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. This book uniquely covers the topics usually found in a typical introductory statistics book but from a Bayesian perspective.

Product Details

ISBN-13:
9780471270201
Publisher:
Wiley
Publication date:
03/19/2004
Edition description:
Older Edition
Pages:
376
Product dimensions:
5.90(w) x 9.30(h) x 0.90(d)

Related Subjects

Table of Contents

Preface
1Introduction to statistical science1
2Scientific data gathering13
3Displaying and summarizing data29
4Logic, probability, and uncertainty55
5Discrete random variables75
6Bayesian inference for discrete random variables95
7Continuous random variables111
8Bayesian inference for binomial proportion129
9Comparing Bayesian and frequentist inferences for proportion147
10Bayesian inference for normal mean169
11Comparing Bayesian and frequentist inferences for mean193
12Bayesian inference for difference between means209
13Bayesian inference for simple linear regression235
14Robust Bayesian methods261
AIntroduction to calculus275
BUse of statistical tables295
CUsing the included minitab macros307
DUsing the included R functions317
E: Answers to selected exercises329
References349
Index351

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