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|d OCLCQ
|d YDXCP
|d OCLCG
|d OCLCQ
|d TNF
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|a GWRE
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4 |
|a QA276
|b .G433 2000eb
|
| 245 |
0 |
0 |
|a Generalized linear models :
|b a Bayesian perspective /
|c edited by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick.
|
| 260 |
|
|
|a New York :
|b Marcel Dekker,
|c ©2000.
|
| 300 |
|
|
|a 1 online resource (xvi, 423 pages) :
|b illustrations.
|
| 336 |
|
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|a text
|b txt
|2 rdacontent.
|
| 337 |
|
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|a computer
|b c
|2 rdamedia.
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier.
|
| 490 |
1 |
|
|a Biostatistics ;
|v 5.
|
| 500 |
|
|
|a Includes index.
|
| 504 |
|
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|a Includes bibliographical references and index.
|
| 505 |
0 |
|
|a I. General overview -- 1. Generalized linear models: A Bayesian view -- 2. Random effects in generalized linear mixed models (GLMMs) -- 3. Prior elicitation and variable selection for generalized linear mixed models -- II. Extending the GLMs -- 4. Dynamic generalized linear models -- 5. Bayesian approaches for overdispersion in generalized linear models -- 6. Bayesian generalized linear models for inference about small areas -- III. Categorical and longitudinal data -- 7. Bayesian methods for correlated binary data -- 8. Bayesian analysis for correlated ordinal data models -- 9. Bayesian methods for time series count data -- 10. Item response modeling -- 11. Developing and applying medical practice guidelines following acute myocardial infarction: A case study using Bayesian probit and logit models -- IV. Semiparametric approaches -- 12. Semiparametric generalized linear models: Bayesian approaches -- 13. Binary response regression with normal scale mixture links -- 14. Binary regression using data adaptive robust link functions -- 15. A mixture-model approach to the analysis of survival data -- V. Model diagnostics and variable selection in GLMs -- 16. Bayesian variable selection using the Gibbs sampler -- 17. Bayesian methods for variable selection in the Cox model -- 18. Bayesian model diagnostics for correlated binary data -- VI. Challenging approaches in GLMs -- 19. Bayesian errors-in-variables modeling -- 20. Bayesian analysis of compositional data -- 21. Classification trees -- 22. Modeling and inference for point-referenced binary spatial data -- 23. Bayesian graphical models and software for GLMs.
|
| 588 |
0 |
|
|a Print version record.
|
| 650 |
|
0 |
|a Linear models (Statistics)
|
| 650 |
|
0 |
|a Bayesian statistical decision theory.
|
| 650 |
|
7 |
|a Bayesian statistical decision theory.
|2 fast
|0 (OCoLC)fst00829019.
|
| 650 |
|
7 |
|a Linear models (Statistics)
|2 fast
|0 (OCoLC)fst00999084.
|
| 700 |
1 |
|
|a Dey, Dipak.
|
| 700 |
1 |
|
|a Ghosh, Sujit K.,
|d 1970-
|
| 700 |
1 |
|
|a Mallick, Bani K.,
|d 1965-
|
| 776 |
0 |
8 |
|i Print version:
|t Generalized linear models.
|d New York : Marcel Dekker, ©2000
|z 0824790340
|w (DLC) 00024055.
|
| 830 |
|
0 |
|a Biostatistics (New York, N.Y.) ;
|v 5.
|
| 856 |
4 |
0 |
|u https://colorado.idm.oclc.org/login?url=https://www.taylorfrancis.com/books/9780429182402
|z Full Text (via Taylor & Francis)
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| 907 |
|
|
|a .b128618401
|b 01-20-23
|c 01-20-23
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| 956 |
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|b Taylor & Francis All eBooks
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| 999 |
f |
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f |
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|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e QA276 .G433 2000eb
|h Library of Congress classification
|i web
|n 1
|
