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...

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes...

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...

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

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

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

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

In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...