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Activity Number:
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71
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #309468 |
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Title:
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Optimal Estimators for Two-Phase Sample Designs
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Author(s):
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Stephen Ash*+
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Companies:
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U.S. Census Bureau
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Address:
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5405 8th road south, Arlington, VA, 22204,
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Keywords:
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auxiliary information ; generalized regression estimator ; model-assisted
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Abstract:
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This paper extends the general result of the optimal estimator (Montanari 1987) to the two-phase sample design. We do this for several different combinations of auxiliary variables that can be available with the two-phase sample design. For each combination of auxiliary variables, we define an appropriate model and associated generalized regression estimator (Cassel et. al. 1976). We then find parameters which minimize the survey variances, i.e. which make the estimators "optimal." The paper concludes with a example that compares the optimal estimators with their calibration counterparts.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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