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Abstract Details
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Activity Number:
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496
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304813 |
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Title:
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Unified Methods for Calibration in Some Missing Data and Sampling Problems
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Author(s):
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Zhiqiang Tan*+
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Companies:
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Rutgers University
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Address:
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, , ,
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Keywords:
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Calibration ;
Missing data ;
Nonparametric likelihood ;
Rejective sampling ;
Regression estimator
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Abstract:
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Consider three different but related problems with auxiliary information: infinite population sampling or Monte Carlo with control variates, missing data under ignorability, and Poisson and rejective sampling with auxiliary variables. We demonstrate, in a unified manner, calibrated regression and likelihood estimators for these problems. This approach will effectively resolve long-standing issues in two existing approaches: how to achieve efficiency, while allowing for misspecification of a super-population model, in generalized regression and calibration estimation and how to find a simple approximation in optimal regression estimation.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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