# Introduction to Bayesian Statistics / Edition 1

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

 Preface 1 Introduction to statistical science 1 2 Scientific data gathering 13 3 Displaying and summarizing data 29 4 Logic, probability, and uncertainty 55 5 Discrete random variables 75 6 Bayesian inference for discrete random variables 95 7 Continuous random variables 111 8 Bayesian inference for binomial proportion 129 9 Comparing Bayesian and frequentist inferences for proportion 147 10 Bayesian inference for normal mean 169 11 Comparing Bayesian and frequentist inferences for mean 193 12 Bayesian inference for difference between means 209 13 Bayesian inference for simple linear regression 235 14 Robust Bayesian methods 261 A Introduction to calculus 275 B Use of statistical tables 295 C Using the included minitab macros 307 D Using the included R functions 317 E: Answers to selected exercises 329 References 349 Index 351