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Activity Number: 470
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #305577
Title: The Efficiency of Multivariate Pseudo-Likelihood Estimation
Author(s): Park Bum Hee*+ and Park Heungsun
Companies: Hankuk University of Foreign Studies and Hankuk University of Foreign Studies
Address: Department of Statistics, Yongin, 449-791, South Korea
Keywords: GEE ; multivariate pseudo-likelihood estimation ; power-of-the-mean variance
Abstract:

Power-of-the-mean (POM) function is used widely in variance modeling procedures. Park and Cho (2005) suggested quasi-likelihood and variance function (QVF) for estimating POM in independent pest-count data. However, their approach cannot be used in correlated count data. We suggest multivariate pseudo-likelihood (MPL) estimator in the correlated POM variance structure. Simulation study illustrates the efficiency of MPL over QVF for various situations.


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