This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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614
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 5, 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 - #308700 |
Title:
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Evaluating Alternative Criteria for Primary Sampling Units Stratification
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Author(s):
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Khandaker Mansur*+ and Benjamin Reist and Patrick Flanagan
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Companies:
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U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau
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Address:
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, , ,
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Keywords:
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Primary sampling unit ;
stratification ;
clustering algorithm ;
criteria functions
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Abstract:
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Major research projects are being conducted at the Census Bureau to redesign the Demographic Surveys for the 2010s. One project includes research to obtain a method for stratifying the primary sampling units (PSUs). In this paper we revisit the Friedman-Rubin's clustering algorithm that has been used in the last three redesigns for stratification. This clustering algorithm attempts to optimize a criterion function for a fixed number of strata. The most commonly used criteria functions are Minimum variance, Wilks' lambda and Hotelling's trace. These criteria along with the criterion (2000 criterion) used in the 2000 redesign are being studied empirically and their performances and comparisons under these criteria are also being discussed. Results suggested by these criteria show that the minimum variance criterion provides the best stratification for labor force characteristics.
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Authors who are presenting talks have a * after their name.
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