00000nam 2200000za 4500 9.839040 CaOODSP 20221107151523 cr ||||||||||| 170628s2000 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-613/2000-4E-PDF Kovacevic, Milorad S. A pseudo maximum likelihood approach to inference about hierarchically structured data [electronic resource] / Milorad S. Kovacevic and Shesh N. Rai. [Ottawa] : Statistics Canada, 2000. 28 p. : figures. Working paper ; 2000-4 Digitized edition from print [produced by Statistics Canada]. "SSMD-2000-004E." "April 2000." Includes bibliographic references. "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. Summary in French. gccst Methodology gccst Statistical analysis Rai, Shesh Nath, 1960- Canada. Statistics Canada. Methodology Branch. Working paper (Statistics Canada. Methodology Branch) 2000-4 (CaOODSP)9.834763 PDF 2.50 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-2000-4-eng.pdf 11-613E no. 2000-04