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Peter Congdon - Applied Bayesian Modelling - 9780471486954 - V9780471486954
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Applied Bayesian Modelling

€ 133.46
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Description for Applied Bayesian Modelling Hardcover. Bayesian statistics uses information from past experience to infer the results of future events. With recent advances in computing power and the development of computer intensive methods for statistical estimation, Bayesian approaches to model estimation have become more feasible and popular. Series: Wiley Series in Probability and Statistics. Num Pages: 478 pages, Illustrations. BIC Classification: JHBC; PBT; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 255 x 178 x 32. Weight in Grams: 1016.
The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS - a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example - explaining fully the choice of model for each ... Read more

Product Details

Format
Hardback
Publication date
2003
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
478
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
530
Place of Publication
New York, United States
ISBN
9780471486954
SKU
V9780471486954
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Peter Congdon
Peter Congdon is Research Professor of Quantitative Geography and Health Statistics at Queen Mary University of London. He has written three earlier books on Bayesian modelling and data analysis techniques with Wiley, and has a wide range of publications in statistical methodology and in application areas. His current interests include applications to spatial and survey data relating to health status ... Read more

Reviews for Applied Bayesian Modelling
"I recommend…highly to statisticians, [and] health researchers...among others to consider keeping on their bookshelf." (Journal of Statistical Computation and Simulation, April 2005) "…a great book…fills a critical gap in existing literature. It is an excellent book for anyone interested in Bayesian modeling…" (Journal of the American Statistical Association, March 2005) "It is certainly a fine choice as ... Read more

Goodreads reviews for Applied Bayesian Modelling


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