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Statistical inference for the multidimensional mixed Rasch model
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Feddag, Mohand L. (2008) Statistical inference for the multidimensional mixed Rasch model. Communications in Statistics: Simulation and Computation, Volume 37 (Number 9). pp. 1732-1749. doi:10.1080/03610910802255832 ISSN 0361-0918.
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Official URL: http://dx.doi.org/10.1080/03610910802255832
Abstract
Inference in generalized linear mixed models with multivariate random effects is often made cumbersome by the high-dimensional intractable integrals involved in the marginal likelihood. This article presents an inferential methodology based on the GEE approach. This method involves the approximations of the marginal likelihood and joint moments of the variables. It is also proposed an approximate Akaike and Bayesian information criterions based on the approximate marginal likelihood using the estimation of the parameters by the GEE approach. The different results are illustrated with a simulation study and with an analysis of real data from health-related quality of life.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Library of Congress Subject Headings (LCSH): | Linear models (Statistics), Probabilities, Regression analysis, Multivariate analysis, Rasch models | ||||
Journal or Publication Title: | Communications in Statistics: Simulation and Computation | ||||
Publisher: | Taylor & Francis Inc. | ||||
ISSN: | 0361-0918 | ||||
Official Date: | 2008 | ||||
Dates: |
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Volume: | Volume 37 | ||||
Number: | Number 9 | ||||
Number of Pages: | 18 | ||||
Page Range: | pp. 1732-1749 | ||||
DOI: | 10.1080/03610910802255832 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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