Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers

ISBN-13: 9780521004145 / Angielski / Miękka / 2001 / 348 str.

Thomas Leonard; John S. J. Hsu; R. Gill

Opis

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.

Recenzje

'A very readable and interesting book.' Indian Journal of Statistics

Spis treści

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.