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 or discrete ...

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, ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

In this paper we develop a generalized partial linear model for longitudinal data. In the model, we allow the link and baseline functions to be unknown. We explicitly express the estimators of ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.