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Line 1: {{Short description\|Category of regression analysis}} {{Regression bar}} '''Nonparametric regression''' is a form of [[regression analysis]] where the predictor does not take a predetermined form but is completely constructed using information derived from the data. That is, no [[parametric equation]] is assumed for the relationship between [[Dependent_and_independent_variables\|predictors]] and dependent variable. A larger [[Sampling_(statistics)\|sample]] size is needed to build a nonparametric model having athe same level of [[Prediction_interval\|uncertainty]] as a [[parametric model]] because the data must supply both the model structure and the parameter estimates. == Definition ==

Nonparametric regression: Difference between revisions