An EM algorithm for regression analysis with incomplete covariate information

Regression analysis is often challenged by the fact that some covariates are not completely observed. Among other approaches is a newly developed semiparametric maximum likelihood (SML) method that requires no parametric specification of the selection mechanism or the covariate distribution and that...

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Bibliographic Details
Published inJournal of statistical computation and simulation Vol. 77; no. 2; pp. 163 - 173
Main Authors Zhang, Zhiwei, Rockette, Howard E.
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.02.2007
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ISSN0094-9655
1563-5163
DOI10.1080/10629360600565202

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