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Applied Bayesian modelling

Congdon, P.

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Applied Bayesian modelling

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied Bayesian modelling/ Peter Congdon.
作者:	Congdon, P.
出版者:	Chichester, West Sussex :John Wiley & Sons, : 2014.,
面頁冊數:	1 online resource (ix, 437 p.) :ill.
標題:	Bayesian statistical decision theory. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118895047
ISBN:	9781118895061

Applied Bayesian modelling
Congdon, P.

Applied Bayesian modelling[electronic resource] /Peter Congdon. - 2nd ed. - Chichester, West Sussex :John Wiley & Sons,2014. - 1 online resource (ix, 437 p.) :ill. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references and index.

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 Win.

ISBN: 9781118895061

LCCN: 2014011504Subjects--Topical Terms:

551404
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.5/42

Applied Bayesian modelling
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245 1 0 $a Applied Bayesian modelling $h [electronic resource] / $c Peter Congdon.
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300 $a 1 online resource (ix, 437 p.) : $b ill.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references and index.
520 $a 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 Win.
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