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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 models because the data must supply the model structure as well as the model estimates.

Attributes	Values
rdfs:label	Nonparametric regression (en) Regresión no paramétrica (es) Régression non paramétrique (fr)
rdfs:comment	Una regresión no paramétrica es una forma de análisis de la regresión en el que el predictor no tiene una forma predeterminada, sino que se construye de acuerdo a la información derivada de los datos. La regresión no paramétrica requiere tamaños de muestra más grandes que los de una regresión sobre la base de modelos paramétricos porque los datos deben suministrar la estructura del modelo, así como las estimaciones del modelo. (es) La régression non paramétrique est une forme d'analyse de la régression dans lequel le prédicteur, ou fonction d'estimation, ne prend pas de forme prédéterminée, mais est construit selon les informations provenant des données. La régression non paramétrique exige des tailles d'échantillons plus importantes que celles de la régression basée sur des modèles paramétriques parce que les données doivent fournir la structure du modèle ainsi que les estimations du modèle. (fr) 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 models because the data must supply the model structure as well as the model estimates. (en)
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dcterms:subject	Nonparametric regression
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Link from a Wikipage to another Wikipage	Information field theory Convolution Semiparametric regression Multivariate normal distribution Consistency (statistics) Kernel regression Smoothing spline Nonparametric regression Lasso (statistics) Linear regression Local regression Parametric model Isotonic regression Regression analysis K-nearest neighbors algorithm Empirical Bayes Multivariate adaptive regression splines Nearest-neighbor interpolation Non-parametric statistics Kernel function Regression tree Smoothing splines Posterior mode
Link from a Wikipage to an external page	http://www.cs.tut.fi/~lasip https://books.google.com/books%3Fid=hD3WBQAAQBAJ https://archive.org/details/nonparametriceco00paga http://www.hyperniche.com/ https://books.google.com/books%3Fid=7WBMrZ9umRYC https://books.google.com/books%3Fid=BI_PiWazY0YC https://books.google.com/books%3Fid=BM1ckQKCXP8C
sameAs	Nonparametric regression Nonparametric regression Nonparametric regression Nonparametric regression Nonparametric regression
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thumbnail	wiki-commons:Special:FilePath/NonparRegrGaussianKernel.png?width=300
has abstract	Una regresión no paramétrica es una forma de análisis de la regresión en el que el predictor no tiene una forma predeterminada, sino que se construye de acuerdo a la información derivada de los datos. La regresión no paramétrica requiere tamaños de muestra más grandes que los de una regresión sobre la base de modelos paramétricos porque los datos deben suministrar la estructura del modelo, así como las estimaciones del modelo. (es) La régression non paramétrique est une forme d'analyse de la régression dans lequel le prédicteur, ou fonction d'estimation, ne prend pas de forme prédéterminée, mais est construit selon les informations provenant des données. La régression non paramétrique exige des tailles d'échantillons plus importantes que celles de la régression basée sur des modèles paramétriques parce que les données doivent fournir la structure du modèle ainsi que les estimations du modèle. (fr) 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 models because the data must supply the model structure as well as the model estimates. (en)
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foaf:isPrimaryTopicOf	wikipedia-en:Nonparametric_regression
is Link from a Wikipage to another Wikipage of	Passing–Bablok regression Non-parametric regression Bernard Silverman Richard Samworth Ingrid Kristine Glad Interval predictor model Preston curve General regression neural network Generalized additive model Semiparametric regression Glossary of probability and statistics Nonparametric statistics Kernel regression Kriging Multi-armed bandit Mathematical statistics Additive model Lasso (statistics) Linear regression William S. Cleveland Nils Lid Hjort Forecasting Censored regression model Regression Regression analysis Regression discontinuity design Jayanta Kumar Ghosh Backfitting algorithm Raymond J. Carroll Sieve estimator Shujie Ma Nonparametric multiplicative regression Urban traffic modeling and analysis List of statistics articles Xihong Lin Fixed-effect Poisson model Nancy E. Heckman Polynomial regression

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