JSM 2004 - Toronto

Abstract #300761

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Activity Number: 389
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #300761
Title: The Variance of the Variance Estimator When the Underlying Population Has a Known Distribution
Author(s): Eungchun Cho*+
Companies: Kentucky State University
Address: 400 E. Main St., Frankfort, KY, 40601,
Keywords: variance estimator ; complex design ; sample design ; Bernoulli numbers
Abstract:

It is often important to evaluate the variance of the variance estimator used with complex sample designs. For example, one may seek to determine before data collection whether a given variance estimator will have an unreasonably large variance, thus may be unsatisfactory for use in inference. The standard whole sample approach and Bernoulli numbers are used to directly derive the formulas for the variance of the variance estimators when the distribution of the population is known.


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Revised March 2004