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Bayes linear statistics : theory and methods
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Bayes linear statistics : theory and methods

Author: Michael Goldstein; David A Wooff
Publisher: Chichester : J. Wiley, cop. 2007.
Series: Wiley series in probability and statistics.
Edition/Format:   Book : EnglishView all editions and formats
Summary:

Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Michael Goldstein; David A Wooff
ISBN: 9780470015629 0470015624
OCLC Number: 494811447
Description: 1 v. (xix-508 p.) : ill. ; 24 cm.
Contents: Preface. 1 The Bayes linear approach. 2 Expectation. 3 Adjusting beliefs. 4 The observed adjustment. 5 Partial Bayes linear analysis. 6 Exchangeable beliefs. 7 Co-exchangeable beliefs. 8 Learning about population variances. 9 Belief comparison. 10 Bayes linear graphical models. 11 Matrix algebra for implementing the theory. 12 Implementing Bayes linear statistics. A Notation. B Index of examples. C Software for Bayes linear computation. C.1 [B/D]. C.2 BAYES-LIN. References. Index.
Series Title: Wiley series in probability and statistics.
Responsibility: Michael Goldstein and David Wooff, ...
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"The authors are to be congratulated for their pioneering effort in writing this book. Hopefully, more books and articles will follow, and the methodology will someday be part of mainstream Read more...

 
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