Robust-BD Estimation and Inference for General Partially Linear Models

The classical quadratic loss for the partially linear model (PLM) and the likelihood function for the generalized PLM are not resistant to outliers. This inspires us to propose a class of “robust-Bregman divergence (BD)” estimators of both the parametric and nonparametric components in the general p...

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Detalles Bibliográficos

Principais autores:	Chunming Zhang, Zhengjun Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2017-11-01
Series:	Entropy
Assuntos:	Bregman divergence generalized linear model local-polynomial regression model check nonparametric test quasi-likelihood semiparametric model Wald statistic
Acceso en liña:	https://www.mdpi.com/1099-4300/19/11/625
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