This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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143
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #308721 |
Title:
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Logistic Generalized Regression (LGREG) Estimator in Cluster Samples
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Author(s):
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Timothy Kennel*+
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Companies:
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U.S. Census Bureau
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Address:
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, , ,
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Keywords:
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Generalized Regression Estimator ;
Logistic Regression ;
Calibration ;
Clustered Sample Designs ;
GREG
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Abstract:
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Statistical models are often used to assist estimation of descriptive statistics from surveys. Perhaps the most common estimator is the Generalized Regression Estimator (GREG) which is design consistent, uses a linear assisting model, and results in a set of calibrated weights. However, when the variable of interest is binary, binomial, or multinomial, it may be more appropriate to use a logistic assisting model instead of the standard linear model. In this paper we develop point and variance estimators for totals of finite population characteristics from a clustered sample assisted by a logistic regression model. Using a national Public Use Microdata set we compare the design-based properties of the new estimator to the GREG and the Horvitz-Thompson estimator under two clustered sample designs.
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