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📜 SIMILAR VOLUMES
## Abstract Microarrays provide a valuable tool for the quantification of gene expression. Usually, however, there is a limited number of replicates leading to unsatisfying variance estimates in a gene‐wise mixed model analysis. As thousands of genes are available, it is desirable to combine inform
## Abstract The analysis‐of‐variance tests for hypotheses on random effects in regular linear models are considered. Conditions are given for these tests to be uniformly most powerful unbiased or uniformly most powerful invariant unbiased. An example shows that the difference between these conditio
## Abstract Nonlinear mixed effects models are now widely used in biometrical studies, especially in pharmacokinetic research or for the analysis of growth traits for agricultural and laboratory species. Most of these studies, however, are often based on ML estimation procedures, which are known to
The aim of this paper was to compare several methods of estimating the genetic components of a quantitative trait in familial data. The Expectation and Maximization (E-M) algorithm, the Newton-Raphson method, and the scoring method were compared for estimating polygenic and environmental effects on
We consider two simple estimators of the mean p in a variance component model (one-way classification, unbalanced case) 1 1 FI=; 7 Yjk; F2=; 2 g j \* ## I I n dependence of the estimation procedure (ANOVA, MINQ, sampling theory) we obtain several different estimators for t h e variances of pl and