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Abstract Details
Activity Number:
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379
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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Abstract - #303770 |
Title:
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The Rescaling Bootstrap and Extensions
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Author(s):
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Sharon Lohr*+
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Companies:
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Arizona State University
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Address:
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Box 871804, Tempe, AZ, 85287-1804,
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Keywords:
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complex surveys ;
replication variance estimation ;
survey weights
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Abstract:
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The rescaling bootstrap of Rao and Wu (1988) allows the use of flexible bootstrap methods for estimating variances and confidence intervals using data from complex surveys. In this talk we examine uses and extensions of the rescaling bootstrap, and discuss its influence on survey sampling practice. We then propose a bootstrap method for approximating the variance of estimates of population totals under balanced sampling designs, in which the Horvitz-Thompson estimates of the population totals of auxiliary variables equal the true population totals in every realization of the sample. We explore properties of the bootstrap methods and present algorithms for computing the bootstrap weights.
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Authors who are presenting talks have a * after their name.
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