Nonparametric regression: Difference between revisions

Revision as of 02:34, 5 December 2024

Revision as of 03:58, 5 December 2024

Line 1:

{{Short description|Category of regression analysis}}

{{Regression bar}}

'''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 formequation]] is assumed for the relationship between predictors and dependent variable. Nonparametric regression requires larger sample sizes than regression based on [[parametric model]]s because the data must supply the model structure as well as the modelparameter estimates.

== Definition ==