On the estimation of a semiparametric generalized linear model

by Magda M. Haggag.

Abstract: The algorithms for the estimation of the semiparametric generalized linear model are derived and developed for the case of a binary dependent variable. The estimation methods are based on using kernel smoothing functions in the estimation of the nonparametric component of the model.

Key Words: Backfitting estimator, generalized linear model, generalized partial linear model, kernel smoothing, profile-likelihood, quasi-likelihood, semiparametric estimation, Speckman estimator

Magda M. Haggag, magmhag@yahoo.com

Editor: Huang Wei-Min, wh02@lehigh.edu

Editor: Editor,EmailE

Revised December 23, 2007

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