Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Simple Linear Regression: Finding Trends The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to see if there's a relationship ...

We give a method of estimating parameters in the linear regression model which allows the dependent variable to be censored and the residual distribution to be unspecified. The method differs from ...

Quasi-Poisson and negative binomial regression models have equal numbers of parameters, and either could be used for overdispersed count data. While they often give similar results, there can be ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

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, ...