In view of the cumbersome and often intractable numerical integrations required for a full likelihood analysis, several suggestions have been made recently for approximate inference in generalized linear mixed models (GLMMs). Two closely related approximate methods are the penalized quasi-likelihood
On order restricted inference in some mixed linear models
β Scribed by Mervyn J. Silvapulle
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 337 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
It is shown that a large class of results on order restricted inference can be used to test some ordered hypotheses about the fixed effects in rather general mixed linear models under some reasonable assumptions. The results are general enough to be applicable in some repeated measures models for unbalanced designs with incomplete data. (~) 1997 Elsevier Science B.V.
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