Use of Pseudo-Likelihood Estimation in Taylor's Power Law with Correlated Responses



Park, Bum-Hee;Park, Heung-Sun

  • 발행 : 2008.11.30


Correlated responses have been widely analyzed since Liang and Zeger (1986) introduced the famous Generalized Estimating Equations(GEE). However, their variance functions were restricted to known quantifies multiplied by scale parameter. In so many industries and academic/research fields, power-of-the-mean variance function is one of the common variance function. We suggest GEE-type pseudolikelihood estimation based on the power-of-the-mean variance using existing software and investigate it's efficiency for different working correlation matrices.


Generalized estimating equations; GEE;power-of-the-mean;Taylor's power law;linear mixed model


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