๐”– Bobbio Scriptorium
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Bayesian Inference on Order-Constrained Parameters in Generalized Linear Models

โœ Scribed by David B. Dunson; Brian Neelon


Book ID
110693674
Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
206 KB
Volume
59
Category
Article
ISSN
0006-341X

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๐Ÿ“œ SIMILAR VOLUMES


On order restricted inference in some mi
โœ Mervyn J. Silvapulle ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 337 KB

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 un

On Marginal Quasi-Likelihood Inference i
โœ Brajendra C. Sutradhar; R.Prabhakar Rao ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 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

Bayesian inferences on nonlinear functio
โœ A. J. Merwe; C. A. Merwe; P. C. N. Groenewald ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Springer Japan ๐ŸŒ English โš– 507 KB

A variety of statistical problems (e.g. the x-intercept in linear regression, the abscissa of the point of intersection of two simple linear regression lines or the point of extremum in quadratic regression) can be viewed as questions of inference on nonlinear functions of the parameters in the gene