Semiparametric estimation for inverse density weighted expectations when responses are missing at random

When responses are missing at random, we consider semiparametric estimation of inverse density weighted expectations, or equivalently, integrals of conditional expectations. An inverse probability weighted estimator and a full propensity score weighted estimator are proposed and shown to be asymptot...

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Bibliographic Details
Main Authors: Lu, Xuewen, Lian, Heng, Liu, Wanrong
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/99040
http://hdl.handle.net/10220/17092
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Institution: Nanyang Technological University
Language: English
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