Previous published work deals with goodness of fit tests of the generalized linear model against zero-inflation and against over-dispersion separately. In this paper we deal with the class of ...

Leonard A. Stefanski, Raymond J. Carroll, Conditional Scores and Optimal Scores for Generalized Linear Measurement- Error Models, Biometrika, Vol. 74, No. 4 (Dec ...

Linear Models (LM) are one of the most commonly used statistical methods to analyze continuous outcomes. However, many studies in Engineering, Medical Study, Education, etc. involve categorical ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

Course Topics Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous ...