A pseudo maximum likelihood approach to inference about hierarchically structured data / Milorad S. Kovacevic and Shesh N. Rai.: 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.
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| Title | A pseudo maximum likelihood approach to inference about hierarchically structured data / Milorad S. Kovacevic and Shesh N. Rai. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
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| Description | 28 p. : figures. |
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| Departmental catalogue number | 11-613E no. 2000-04 |
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