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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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Bibliografische gegevens
Hoofdauteurs: Chunming Zhang, Zhengjun Zhang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2017-11-01
Reeks:Entropy
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Online toegang:https://www.mdpi.com/1099-4300/19/11/625
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