A pseudo maximum likelihood approach to inference about hierarchically structured data: CS11-613/2000-4E-PDF
"An application of the pseudo maximum likelihood method is demonstrated on estimation for a mixed linear model fitted to the dependent observations coming from a hierarchical population. This approach provides a closed form solution for estimating the parameters of the mixed linear models which seems to be simpler than the iterative procedures such as iterative probability weighted least squares method of Pfeffermann et al. (1998) . We also discuss some issues relating to model and sample design hierarchies and their impact on estimation. A small simulation study showed that the proposed procedure is efficient even for small sample sizes at higher levels"--Summary.
|Department/Agency||Statistics Canada. Methodology Branch.|
|Title||A pseudo maximum likelihood approach to inference about hierarchically structured data|
|Series Title||Working paper ;|
|Publication Type||Series - View Master Record|
|Electronic Document|| |
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|Note||Digitized edition from print [produced by Statistics Canada]. "SSMD-2000-004E." "April 2000."|
|Number of Pages||28 p. :|
|Departmental Catalogue Number||11-613E no. 2000-04|
|Subject Terms||Methodology, Statistical analysis|
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