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Generalized Partially Linear Models With Missing Covariates

In this article we study a semiparametric generalized partially linear model when the covariates are missing at random. We propose combining local linear regression with the local quasilikelihood technique and weighted estimating equation (WEE) to estimate the parameters and nonparameters when the m...

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Detalles Bibliográficos
Autor Principal: Liang, Hua
Formato: Artigo
Idioma:Inglês
Publicado: 2008
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2441450/
https://ncbi.nlm.nih.gov/pubmed/19412320
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2007.05.004
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