© 1989 by Biometrika Trust
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Restricted unbiased iterative generalized least-squares estimation
Department of Mathematics, Statistics and Computing, Institute of Education, University of London London WC1H 0AL, U.K.
It is shown that the iterative least-squares procedure for estimating the parameters in a general multilevel random coefficients linear model can be modified to produce unbiased estimates of the random parameters. In the multivariate normal case these are equivalent to restricted maximum likelihood estimates.
Key Words: Iterative generalized least-squares Maximum likelihood Multilevel model Restricted generalized least-squares Restricted maximum likelihood
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