𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On order restricted inference in some mixed linear models

✍ 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.

✦ 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.


πŸ“œ SIMILAR VOLUMES


On Marginal Quasi-Likelihood Inference i
✍ Brajendra C. Sutradhar; R.Prabhakar Rao πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 299 KB

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

Inferences in generalized linear longitu
✍ Brajendra C. Sutradhar πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 French βš– 185 KB πŸ‘ 1 views

## Abstract Without realizing the fact that the time‐dependent covariates corresponding to the repeated discrete responses under a generalized linear longitudinal model (GLLM) cause non‐stationary (time dependent) correlations for the repeated responses, many existing studies use a stationary (eith

Some properties of inferences in misspec
✍ Thomas A. Severini πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 321 KB

Let Y denote an n x 1 vector of observations such that Y = # + a~ where /~ is an unknown n x 1 vector, a > 0 is an unknown parameter, and ~ is an n x 1 vector of independent standard normal random variables. A linear regression analysis is often based on a model for # such as /t =X/~ where X is a kn