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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.

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  • Regresión semiparamétrica (es)
  • Semiparametric regression (en)
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  • 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)
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  • 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)
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