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Abstract Details
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Activity Number:
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664
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301939 |
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Title:
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A Noninformative Bayesian Approach to Cluster Sampling
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Author(s):
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Michael Soma*+
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Companies:
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University of Minnesota
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Address:
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2700 W 44th St. apt 307, Minneapolis, MN, 55410,
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Keywords:
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cluster sampling ;
two-stage ;
Bayesian ;
noninformative
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Abstract:
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The focus of this talk will be on Bayesian approaches to two-stage cluster sampling. We will provide background information on the Polya posterior and Meeden's approach two stage cluster sampling. Also, we show Nandram and Sedransk's fully Bayesian approach when the parameter space is binary. Through simulation, we show how these two methods perform compared to classical design based estimates under a variety of assumptions on the known population. Through these simulations and literature review we propose extending further the fully Bayesian procedure to allow for constraints on total number of secondary sampling units.
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Authors who are presenting talks have a * after their name.
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