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Diagnostics for generalized linear models

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Diagnostics for generalized linear models

Benghiat, Sonia (2001) Diagnostics for generalized linear models. Masters thesis, Concordia University.

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Abstract

The analysis of residuals can capture departures from a parametrized model. In this thesis we look at how the generalized linear model has become one of the most important developments in statistics in the last thirty years, and on the adequacy of regression model diagnostics that are meaningful and significant in a generalized linear model context. Some asymptotic properties are discussed and numerical examples are provided to illustrate the techniques for binomial, Poisson, and gamma distributed random variables.

Divisions:Concordia University > Faculty of Arts and Science > Mathematics and Statistics
Item Type:Thesis (Masters)
Authors:Benghiat, Sonia
Pagination:x, 96 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Theses (M.Sc.)
Program:Mathematics and Statistics
Date:2001
Thesis Supervisor(s):Chaubey, Yogendra P.
ID Code:1490
Deposited By:Concordia University Libraries
Deposited On:27 Aug 2009 13:19
Last Modified:08 Dec 2010 10:21
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