Approximate estimation in generalized linear mixed models with applications to the Rasch model
UNSPECIFIED (2006) Approximate estimation in generalized linear mixed models with applications to the Rasch model. In: 2nd Euro-Japanese Workshop on Stochastic Modelling for Finance Insurance Production and Reliability, Chamonix, FRANCE, SEP 18-20, 2002. Published in: COMPUTERS & MATHEMATICS WITH APPLICATIONS, 51 (2). pp. 269-278.Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.camwa.2005.11.012
This article discusses two different approaches to estimate the difficulty parameters (fixed effects parameters) and the variance of latent traits (variance components) in the mixed Rasch model. The first one is the generalized estimating equations (GEE2) which uses an approximation of the marginal likelihood to derive the joint moments whilst the second approach uses the maximum of the approximate likelihood. We illustrate these methods with a simulation study and with an analysis of real data from a quality of life. (c) 2006 Elsevier Ltd. All rights reserved.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Q Science > QA Mathematics
|Journal or Publication Title:||COMPUTERS & MATHEMATICS WITH APPLICATIONS|
|Publisher:||PERGAMON-ELSEVIER SCIENCE LTD|
|Number of Pages:||10|
|Page Range:||pp. 269-278|
|Title of Event:||2nd Euro-Japanese Workshop on Stochastic Modelling for Finance Insurance Production and Reliability|
|Location of Event:||Chamonix, FRANCE|
|Date(s) of Event:||SEP 18-20, 2002|
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