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1998•Journal of the American Statistical AssociationRequires access

Consistent Estimators in Generalized Linear Mixed Models

Jiming Jiang

Open publisher page 141 citations

Abstract

A simple method based on simulated moments is proposed for estimating the fixed-effects and variance components in a generalized linear mixed model (GLMM). It is shown that the method is not only computationally attractive but also leads to consistent estimators. On the other hand, simulation shows that the method can be quite inefficient.

About this research paper

What this paper is about

A simple method based on simulated moments is proposed for estimating the fixed-effects and variance components in a generalized linear mixed model (GLMM). It is shown that the method is not only computationally attractive but also leads to consistent estimators. On the other hand, simulation shows that the method can be quite inefficient.

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OpenAlex reports 141 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A simple method based on simulated moments is proposed for estimating the fixed-effects and variance components in a generalized linear mixed model (GLMM). It is shown that the method is not only computationally attractive but also leads to consistent estimators. On the other hand, simulation shows that the method can be quite inefficient.

Key concepts: Estimator, Generalized linear mixed model, Applied mathematics, Mathematics, Mixed model, Generalized linear model, Simple (philosophy), Variance components

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