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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 479
Type: Contributed
Date/Time: Wednesday, August 1, 2007 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #308383
Title: The Nonparametric Regression with Missing Responses and Its Applications to the U.S. Census
Author(s): Cheng Yong Tang*+ and Song Xi Chen+
Companies: Iowa State University and Iowa State University
Address: 208A Snedecor Hall, Ames, IA, 50014, 315B Snedecor Hall, Ames , IA, 50010,
Keywords: Nonparametric regression ; missing values ; imputation ; discrete variables
Abstract:

The estimation of match rates in the U.S. census is a regression problem with missing responses and covariates which are mixtures of discrete and continuous variables. This paper considers the nonparametric regression in such problems. A nonparametric imputation approach for missing values are proposed which improves the estimation efficiency. Theoretical and simulation results demonstrated the performance of the proposed method. And some further applications of the nonparametric approach are discussed.

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Revised September, 2007