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Activity Number: 191
Type: Topic Contributed
Date/Time: Monday, August 7, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #306432
Title: A Nonparametric Approach to Census Population Size Estimation
Author(s): Song X. Chen*+ and Chengyong Tang and Jean D. Opsomer and Sarah M. Nusser
Companies: Iowa State University and Iowa State University and Iowa State University and Iowa State University
Address: Department of Statistics, Ames, IA, 50011-1210,
Keywords: capture-recapture surveys ; discrete covariates ; kernel smoothing method
Abstract:

We consider applying an approach based on the nonparametric kernel smoothing methods for inference issues surrounding the U.S. census population size estimation. The issues considered include checking the validity of commonly assumed models for the probability selection function and automatic combinations of post-stratums to gain more information from the capture-recapture type accuracy and coverage evaluation surveys.

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