Elements of Generalized Linear Mixed Models

Abstract

AbstractLinear models are commonly used to describe and analyze datasets from different research areas, such as biological, agricultural, social, and so on. A linear model aims to best represent/describe the nature of a dataset. A model is usually made up of factors or a series of factors that can be nominal or discrete variables (sex, year, etc.) or continuous variables (age, height, etc.), which have an effect on the observed data. Linear models are the most commonly used statistical models for estimating and predicting a response based on a set of observations.