Applied Bayesian Modelling: 595 (Wiley Series in Probability and Statistics) - Hardcover
Book 260 of 355: Wiley Series in Probability and Statistics
Synopsis
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 take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.
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About the Author
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.
"About this title" may belong to another edition of this title.
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APPLIED BAYESIAN MODELLING
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ISBN 13: 9781119951513
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Applied Bayesian Modelling (Hardcover)
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Hardcover. Condition: new. Hardcover. 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 take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage. This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781119951513
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