What Is Nonparametric Regression?

Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. That is, no parametric form is assumed for the relationship between predictors and dependent variable.

What is nonparametric regression used for?

Nonparametric regression is used for prediction and is reliable even if hypotheses of linear regression are not verified.

What is parametric regression?

The most common functional form is parametric linear model, as a type of parametric regression, is frequently used to describe the relationship between a dependent variable and explanatory variables. Parametric linear models require the estimation of a finite number of parameters, β.