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One type of robust estimation with nonignorable missing data
【2013.11.20 2:00pm,S712】

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 2013-11-07 

  Colloquia & Seminars 

  Speaker

 黎波  博士 (清华大学)

  Title

     One type of robust estimation with nonignorable missing data      

  Time

  2013.11.20 2:00pm           

  Venue

  S712

  Abstract

 We consider estimating mean functionals with nonignorable missing. Traditional methods handling nonignorable missingness usually entail parametric modeling of the missing mechanism. Kim and Yu (2011, JASA) proposed a semiparametric exponential tilting model for the same end. But their method requires an independent survey or validation sample to achieve identification. In this study, we consider the sensitivity of estimators of the mean functionals within Kim and Yu's exponential tilting model without assuming the availability of an independent survey or validation sample. Our proposed method can be viewed as a robust version of Kim and Yu's.

  Affiliation

 

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