Bayesian Methods An Analysis for Statisticians and Interdisciplinary Researchers |
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Author:
| Leonard, Thomas Hsu, John S. J. |
Contribution by:
| Gill, R. Ripley, B. D. Ross, S. Silverman, B. Stein, M. |
Series title: | Cambridge Series in Statistical and Probabilistic Mathematics Ser. |
ISBN: | 978-0-521-59417-2 |
Publication Date: | Jun 1999 |
Publisher: | Cambridge University Press
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Book Format: | Hardback |
List Price: | AUD $184.95 |
Book Description:
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This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. The first chapter presents a comparison with traditional Fisherian methods. Subsequent chapters relate Bayesian methods to many areas of statistics, for instance, the linear model, categorical data analysis, time series, and forecasting, mixture models, survival analysis, Bayesian smoothing, and non-linear random effects models. The text includes a large number...
More DescriptionThis book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. The first chapter presents a comparison with traditional Fisherian methods. Subsequent chapters relate Bayesian methods to many areas of statistics, for instance, the linear model, categorical data analysis, time series, and forecasting, mixture models, survival analysis, Bayesian smoothing, and non-linear random effects models. The text includes a large number of practical examples, worked examples, and exercises. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers.