About: Semiparametric regression

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In statistics, semiparametric regression includes regression models that combine parametric and nonparametric models. They are often used in situations where the fully nonparametric model may not perform well or when the researcher wants to use a parametric model but the functional form with respect to a subset of the regressors or the density of the errors is not known. Semiparametric regression models are a particular type of semiparametric modelling and, since semiparametric models contain a parametric component, they rely on parametric assumptions and may be misspecified and inconsistent, just like a fully parametric model.

Attributes	Values
rdfs:label	Regresión semiparamétrica (es) Semiparametric regression (en)
rdfs:comment	En estadística, la regresión semiparamétrica es una regresión que combina modelos paramétricos y no paramétricos. Se utiliza a menudo en situaciones en las que el modelo no paramétrico no puede funcionar totalmente bien, o cuando el investigador quiere usar un modelo paramétrico, pero la forma funcional con respecto a un subconjunto de los regresores o la densidad de los errores no se conoce. Los modelos de regresión paramétricos son un tipo particular del modelado semiparamétrico, ya que los modelos semiparamétricos contienen un componente paramétrico. (es) In statistics, semiparametric regression includes regression models that combine parametric and nonparametric models. They are often used in situations where the fully nonparametric model may not perform well or when the researcher wants to use a parametric model but the functional form with respect to a subset of the regressors or the density of the errors is not known. Semiparametric regression models are a particular type of semiparametric modelling and, since semiparametric models contain a parametric component, they rely on parametric assumptions and may be misspecified and inconsistent, just like a fully parametric model. (en)
dct:subject	Nonparametric statistics
Wikipage page ID	4536125 (xsd:integer)
Wikipage revision ID	1086588362 (xsd:integer)
Link from a Wikipage to another Wikipage	Non-linear least squares Partially linear model Resampling (statistics) Consistent estimator Statistics Kernel density estimation Kernel regression Parametric model Nonparametric regression Regression analysis Nonparametric statistics Semiparametric model Independence (probability theory) Maximum likelihood Specification (regression) Effective degree of freedom Heteroskedastic
Link from a Wikipage to an external page	http://purl.umn.edu/55563
sameAs	Semiparametric regression Semiparametric regression Semiparametric regression Semiparametric regression
dbp:wikiPageUsesTemplate	dbt:Regression_bar dbt:Cite_book dbt:Cite_journal dbt:More_footnotes dbt:Reflist dbt:Short_description dbt:Statistics
has abstract	En estadística, la regresión semiparamétrica es una regresión que combina modelos paramétricos y no paramétricos. Se utiliza a menudo en situaciones en las que el modelo no paramétrico no puede funcionar totalmente bien, o cuando el investigador quiere usar un modelo paramétrico, pero la forma funcional con respecto a un subconjunto de los regresores o la densidad de los errores no se conoce. Los modelos de regresión paramétricos son un tipo particular del modelado semiparamétrico, ya que los modelos semiparamétricos contienen un componente paramétrico. (es) In statistics, semiparametric regression includes regression models that combine parametric and nonparametric models. They are often used in situations where the fully nonparametric model may not perform well or when the researcher wants to use a parametric model but the functional form with respect to a subset of the regressors or the density of the errors is not known. Semiparametric regression models are a particular type of semiparametric modelling and, since semiparametric models contain a parametric component, they rely on parametric assumptions and may be misspecified and inconsistent, just like a fully parametric model. (en)
prov:wasDerivedFrom	wikipedia-en:Semiparametric_regression?oldid=1086588362&ns=0
page length (characters) of wiki page	7367 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Semiparametric_regression
is Link from a Wikipage to another Wikipage of	Variance function Degrees of freedom (statistics) Generalized additive model Functional data analysis Functional regression Nonparametric statistics Bani K. Mallick Nicole Fortin Nonparametric regression Semiparametric model Raymond J. Carroll Shujie Ma List of statistics articles Xihong Lin Outline of regression analysis
is foaf:primaryTopic of	wikipedia-en:Semiparametric_regression

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