An analysis-of-variance model can be written as a linear model, which is an equation that predicts the response as a linear function of parameters and design variables. In general, A one-way model is ...

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 ...

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, ...

An introduction to the theory and application of generalised linear models for the analysis of continuous, categorical and count data, and regression models for survival data. Topics include: general ...

and generalized linear and additive models. Emphasis is placed on analyzing real data using the R programming language. By completing this specialization, you will be able to: Correctly analyze and ...

Earnix, a provider of intelligent decisioning SaaS solutions for regulated industries, announced the launch of the Earnix ...