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Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers
     

Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers

by John S. J. Hsu, Thomas Leonard
 

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ISBN-10: 0521004144

ISBN-13: 9780521004145

Pub. Date: 05/28/2009

Publisher: Cambridge University Press

This exposition of the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students is unique in presenting its subject with a practical flavor and an emphasis on mainstream statistics. It shows how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with

Overview

This exposition of the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students is unique in presenting its subject with a practical flavor and an emphasis on mainstream statistics. It shows how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many new statistical methods, not available elsewhere. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers.

Product Details

ISBN-13:
9780521004145
Publisher:
Cambridge University Press
Publication date:
05/28/2009
Series:
Cambridge Series in Statistical and Probabilistic Mathematics Series , #5
Edition description:
Reprint
Pages:
348
Product dimensions:
6.97(w) x 9.96(h) x 0.71(d)

Table of Contents

1. Introductory statistical concepts; 2. The discrete version of Bayes' theorem; 3. Models with a single unknown parameter; 4. The expected utility hypothesis and its alternatives; 5. Models with several unknown parameters; 6. Prior structures, posterior smoothing, and Bayes-Stein estimation; Guide to worked examples; Guide to self-study exercises.

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