ESTIMATION IN GENERALIZED MIXED MODELS

Authors
MCGILCHRIST CA
Citation
Ca. Mcgilchrist, ESTIMATION IN GENERALIZED MIXED MODELS, Journal of the Royal Statistical Society. Series B: Methodological, 56(1), 1994, pp. 61-69
Citations number
25
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
Journal of the Royal Statistical Society. Series B: Methodological
ISSN journal
00359246 → ACNP
Volume
56
Issue
1
Year of publication
1994
Pages
61 - 69
Database
ISI
SICI code
1369-7412(1994)56:1<61:EIGMM>2.0.ZU;2-A
Abstract
Regression models containing fixed and random effects may have a respo nse variable which is not normally distributed. The generalized mixed model includes both discrete and continuous response variables and is developed here for problems in which the regression variables enter li nearly into the model. Best linear unbiased predictor methods are exte nded to maximum likelihood and residual maximum likelihood estimation procedures. Applications in modelling discrete response variables and in survival analysis are discussed.