In statistics, binomial regression is a regression analysis technique in which the response (often referred to as Y) has a binomial distribution: it is...

Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes...

data that can be modelled well with a negative binomial distribution via negative binomial regression. Pat Collis is required to sell candy bars to raise...

a single value, as in linear regression. Binary regression is usually analyzed as a special case of binomial regression, with a single outcome ( n = 1...

tabulating the corresponding binomial coefficients in what is now recognized as Pascal's triangle. Mathematics portal Logistic regression Multinomial distribution...

Ridge regression is a method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated...

the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables...

Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its...

Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional...

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination...