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Multivariate generalized linear mixed models using R / Damon M. Berridge, Robert Crouchley.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton, Fla. : CRC Press, 2011.Description: xxiii, 280 p. : ill. ; [ca. 23-29] cmISBN:
  • 9781439813263
Subject(s): Available additional physical forms:
  • Also available as an electronic resource.
Contents:
1. Introduction -- 2. Generalized linear models for continuous/interval scale data -- 3. Generalized linear models for other types of data -- 4. Family of generalized linear models -- 5. Mixed models for continuous/interval scale data -- 6. Mixed models for binary data -- 7. Mixed models for ordinal data -- 8. Mixed models for count data -- 9. Family of two-level generalized linear models -- 10. Three-level generalized linear models -- 11. Models for multivariate data -- 12. Models for duration and event history data -- 13. Stayers, non-susceptibles and endpoints -- 14. Handling initial conditions/state dependence in binary data -- 15. Incidental parameters : an empirical comparison of fixed effects and random effects models.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.062 B533 (Browse shelf(Opens below)) Available 132770
Total holds: 0

"A Chapman & Hall book."

Includes bibliographical references (p. 249-257) and indexes.

1. Introduction -- 2. Generalized linear models for continuous/interval scale data -- 3. Generalized linear models for other types of data -- 4. Family of generalized linear models -- 5. Mixed models for continuous/interval scale data -- 6. Mixed models for binary data -- 7. Mixed models for ordinal data -- 8. Mixed models for count data -- 9. Family of two-level generalized linear models -- 10. Three-level generalized linear models -- 11. Models for multivariate data -- 12. Models for duration and event history data -- 13. Stayers, non-susceptibles and endpoints -- 14. Handling initial conditions/state dependence in binary data -- 15. Incidental parameters : an empirical comparison of fixed effects and random effects models.

Also available as an electronic resource.

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