UID:
almafu_9959328607802883
Format:
1 online resource (xix, 508 pages)
ISBN:
9780470065662
,
0470065664
,
9780470065679
,
0470065672
,
1280854952
,
9781280854958
Content:
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 expressing beliefs, and systematic methods for adjusting these beliefs, given observational data.
Note:
Bayes Linear Statistics; 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; References; Index.
Additional Edition:
Print version: Goldstein, Michael, 1949- Bayes linear statistics. Chichester, England ; Hoboken, NJ : John Wiley, ©2007 ISBN 9780470015629
Additional Edition:
ISBN 0470015624
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470065662
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470065662
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470065662
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470065662