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Filtering by: Advisor Schafer, Daniel W. Date issued sim 1989-08-18

A method for estimation of generalized linear models when explanatory variables contain meaurement error

Creator:

Sauter, Roger M.

Abstract:

This thesis considers the problem of estimating the linear parameters of generalized linear models (GLM), especially binomial and Poisson regression models, when the explanatory variable is subject to measurement error. In this situation, the dependence of the response variable on the observed explanatory variable cannot typically be modeled as a...

Resource Type:

Dissertation
Diagnostic tools for overdispersion in generalized linear models

Creator:

Ganio-Gibbons, Lisa M.

Abstract:

Data in the form of counts or proportions often exhibit more variability than that predicted by a Poisson or binomial distribution. Many different models have been proposed to account for extra-Poisson or extra-binomial variation. A simple model includes a single heterogeneity factor (dispersion parameter) in the variance. Other models that...

Resource Type:

Dissertation