UID:
almafu_9959328653402883
Umfang:
1 online resource (ix, 425 pages) :
,
illustrations
ISBN:
0470092378
,
9780470092378
,
0470092394
,
9780470092392
,
0470092386
,
9780470092385
Inhalt:
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike.
Anmerkung:
Principles of Bayesian inference -- Model comparison and choice -- Regression for metric outcomes -- Models for binary and count outcomes -- Further questions in binomial and count regression -- Random effect and latent variable models for multicategory outcomes -- Ordinal regression -- Discrete spatial data -- Time series models for discrete variables -- Hierarchical and panel data models -- Missing-data models.
,
English.
Weitere Ausg.:
Print version: Congdon, P. Bayesian models for categorical data. Chichester ; New York : Wiley, ©2005 ISBN 0470092378
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0470092394
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0470092394
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0470092394
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