Nonparametric regression: Difference between revisions

Revision as of 07:21, 17 December 2021

Revision as of 22:29, 2 March 2022

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{{Short description|Category of regression analysis}}

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'''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. 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 model estimates.