Applied Bayesian Modelling, 2nd Edition
$220.89
- Hardcover
462 pages
- Release Date
19 June 2014
Summary
Bayesian Modelling: An Accessible Approach to Data Analysis
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader’s own applications. The second edition has been thoroughly reworked and updated to…
Book Details
| ISBN-13: | 9781119951513 |
|---|---|
| ISBN-10: | 1119951518 |
| Author: | Peter Congdon |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 462 |
| Edition: | 2nd |
| Release Date: | 19 June 2014 |
| Weight: | 851g |
| Dimensions: | 252mm x 175mm x 27mm |
| Series: | Wiley Series in Probability and Statistics |
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What They're Saying
Critics Review
“A nice guidebook to intermediate and advanced Bayesian models.” ( Scientific Computing , 13 January 2015)
“A nice guidebook to intermediate and advanced Bayesian models.” (Scientific Computing, 13 January 2015)
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.
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