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- W78484584 abstract "This chapter discusses the random effects two-level model. The development of fast, efficient algorithms for variance component models has made the large-scale analysis of complex multilevel data straightforward, if not yet routine. As a result, the theoretical interest in such models can turn toward the issues of model checking and evaluation. The primary assumption is that of the normal distribution of random effects at the higher levels. Current practice is to use the posterior means of the random effects as estimates of these random variables in probability and other plotting procedures and in inferences about individual higher-level sampling units. The maximum profile likelihood estimates are very similar to the usual empirical Bayes estimates, but the precisions of the estimates are less than implied by the estimated posterior variances, reflecting a proper allowance for the estimation of the variance component parameters." @default.
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- W78484584 date "1989-01-01" @default.
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- W78484584 title "PROFILE PREDICTIVE LIKELIHOOD FOR RANDOM EFFECTS IN THE TWO-LEVEL MODEL" @default.
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- W78484584 doi "https://doi.org/10.1016/b978-0-12-108840-8.50018-4" @default.
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