Large Octavo, ix, xi, 437 pages. In Very Good minus condition. Bound in the publisher's blue/red cloth white and yellow lettering to the spine. Boards have slight wear including finger marks, bumped spine edges and minor wear to the fore corners. Slight cocking to the spine. Text block has slight wear including mild soiling to the edges and previous owner's name to the front pastedown. Minor notation to the copyright page. Illustrated. Second edition. NOTE: Shelved in Netdesk Column Q, ND-Q. 1394976. FP New Rockville Stock.

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Bibliographic Details

Title: APPLIED BAYESIAN MODELLING
Publisher: John Wiley and Sons Limited, Chichester
Publication Date: 2014
Language: English
ISBN 10: 1119951518
ISBN 13: 9781119951513
Binding: Hardcover
Edition: Second Edition.

About this title

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.

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.

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