
Applied Bayesian Modelling
$325.88
- Hardcover
530 pages
- Release Date
11 March 2003
Summary
Applied Bayesian Modelling: Real-World Applications in Social and Health Sciences
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 illustr…
Book Details
ISBN-13: | 9780471486954 |
---|---|
ISBN-10: | 0471486957 |
Series: | Wiley Series in Probability and Statistics |
Author: | Peter Congdon |
Publisher: | John Wiley & Sons Inc |
Imprint: | John Wiley & Sons Inc |
Format: | Hardcover |
Number of Pages: | 530 |
Edition: | 1st |
Release Date: | 11 March 2003 |
Weight: | 1.02kg |
Dimensions: | 250mm x 176mm x 31mm |
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What They're Saying
Critics Review
“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 a supporting reference in either a first or second Bayesian methods course…” (Technometrics, May 2004)
”…has a contemporary feel, with recent developments in financial time series modelling and epidemiology included…” (Short Book Reviews, Vol 23(3), December 2003)
About The Author
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 and health service research. His recent publications include work associated with the British Historical GIS Project and international collaborative work on psychiatric admissions in London and New York.
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