This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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412
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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Abstract - #308857 |
Title:
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Reconstruction of Conditional Expectations for Regression Calibration from the Moment Problem
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Author(s):
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Charles Hagwood*+
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Companies:
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National Institute of Standards and Technology
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Address:
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100 Bureau Dr. Bldg 222 Rm A248, Gaithersburg, MD, 20899,
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Keywords:
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regression calibration ;
moment problem ;
conditional expectation
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Abstract:
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Regression calibration originated as a general statistical technique with works by Carroll and Stefanski (1990) and Gleser (1990). It is a method for fitting models when the independent variable or covariate X is measured with error. Measurement error is a common problem that infects many applications. In regression calibration, the noisy independent measurement W is calibrated with E[X|mid W] and the model is fitted using whatever method is appropriate using this replacement for X. An important component of this approach is finding a good estimator of E[X| W]. In this paper, the function E[X| W=w] is estimated using the classical moment problem.
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