JSM 2004 Online Program

Abstract #300866

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Activity Number:	188
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor:	Section on Nonparametric Statistics
Abstract - #300866
Title:	Functional Semiparametric Quasi-likelikehood Generalized Linear Models, When Time is Random
Author(s):	Latonya Garner*+
Companies:	University of Mississippi
Address:	PO Box 3958, University, MS, 38677,
Keywords:	functional ; semiparametric ; quasi-likelihood ; generalized linear models
Abstract:	We will discuss the estimators of the parameters in the functional semiparametric quasi-likelihood generalized linear models. The estimators are given as the solutions of two estimating equations. The estimators are efficient if the quasi-likelihood function is a true likelihood when the time is random. The asymptotic distribution of the estimators is given. Comparison of efficiency is given through examples in an effort to investigate different models, in particular, when time is random and nonrandom.

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