Abstract Details
Activity Number:
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504
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Type:
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Invited
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Date/Time:
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Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract - #307040 |
Title:
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Parametric Bootstrap Confidence Intervals for Survey-Weighted Small-Area Proportions
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Author(s):
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Benmei Liu*+ and Mamadou Diallo
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Companies:
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National Cancer Institute and Westat
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Keywords:
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Survey-weighted proportions ;
Fay-Herriot model ;
parametric bootstrap ;
coverage properties
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Abstract:
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In this paper, we apply the recently developed parametric bootstrap method in constructing confidence intervals for the well-known Fay-Herriot model in estimating survey-weighted small area proportions. Through design-based simulation studies from a real finite population and extensive purely model-based simulation studies, we examine the coverage properties of the parametric bootstrap confidence intervals for the Fay-Herriot model. We also compare them with those obtained from other competing methods for the same model.
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Authors who are presenting talks have a * after their name.
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