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Empirical Likelihood Based Inferences for Partially Linear Models with Missing Covariates

This paper considers statistical inference for partially linear models Y = X(T)μ + ν(Z) + ε when the linear covariate X is missing with missing probability π depending upon (Y, Z). We propose empirical likelihood based statistics to construct confidence regions for β and ν(z). The resulting statisti...

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Detalhes bibliográficos
Main Authors: Liang, Hua, Qin, Yongsong
Formato: Artigo
Idioma:Inglês
Publicado em: 2008
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2918919/
https://ncbi.nlm.nih.gov/pubmed/20703365
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-842X.2008.00521.x
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