This article considers generalized partially linear models when the linear covariate is measured with additive error. We propose estimators of parameter and ...

In many problems involving generalized linear models, the covariates are subject to measurement error. When the number of covariates p exceeds the sample size n ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...