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Parameter Estimation in Linear Models with Heteroscedastic Variances Subject to Order Restrictions

โœ Scribed by Carol Hoferkamp; Shyamal Das Peddada


Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
172 KB
Volume
82
Category
Article
ISSN
0047-259X

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โœฆ Synopsis


Estimation of parameters in linear fixed and mixed effects models, under order restrictions on the error variances, is considered in this article. For simplicity of exposition, we shall assume that the error variances are subject to simple order restriction. Similar methodology can be developed for other forms of order restrictions as well.


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On estimating equations for parameters i
โœ Roy F. Bartlett; Brajendra C. Sutradhar ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 168 KB ๐Ÿ‘ 3 views

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 and other nonlinear variance component models. For example, we refer to the penaliz