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• W2007917650 abstract "The restricted maximum likelihood (REML) estimates of dispersion parameters (variance components) in a general (non-normal) mixed model are defined as solutions of the REML equations. In this paper, we show the REML estimates are consistent if the model is asymptotically identifiable and infinitely informative under the (location) invariant class, and are asymptotically normal (A.N.) if in addition the model is asymptotically nondegenerate. The result does not require normality or boundedness of the rank p of design matrix of fixed effects. Moreover, we give a necessary and sufficient condition for asymptotic normality of Gaussian maximum likelihood estimates (MLE) in non-normal cases. As an application, we show for all unconfounded balanced mixed models of the analysis of variance the REML (ANOVA) estimates are consistent; and are also A.N. provided the models are nondegenerate; the MLE are consistent (A.N.) if and only if certain constraints on p are satisfied." @default.
• W2007917650 created "2016-06-24" @default.
• W2007917650 creator A5084728323 @default.
• W2007917650 date "1996-02-01" @default.
• W2007917650 modified "2023-09-26" @default.
• W2007917650 title "REML estimation: asymptotic behavior and related topics" @default.
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• W2007917650 doi "https://doi.org/10.1214/aos/1033066209" @default.
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