Semiparametric Maximum Likelihood for Missing Covariates in Parametric Regression

Zhiwei Zhang; Howard E. Rockette

doi:10.1007/s10463-006-0047-7

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Semiparametric Maximum Likelihood for Missing Covariates in Parametric Regression

Zhiwei Zhang Howard E. Rockette

Year: 2006 Journal: Annals of the Institute of Statistical Mathematics Vol: 58 (4)Pages: 687-706 Publisher: Springer Science+Business Media

DOI: 10.1007/s10463-006-0047-7

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Keywords:

Mathematics Semiparametric regression Semiparametric model Covariate Statistics Parametric statistics Estimator Restricted maximum likelihood Estimation theory

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Semiparametric Maximum Likelihood for Missing Covariates in Parametric Regression

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