Variance estimation using auxiliary information under a one unit per stratum sample design
作者:
Elizabeth T. Huang,
Cary T. Isaki,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1988)
卷期:
Volume 17,
issue 4
页码: 1431-1447
ISSN:0361-0918
年代: 1988
DOI:10.1080/03610918808812733
出版商: Marcel Dekker, Inc.
关键词: variance estimates of total or ratio;relative bias;relative mean square error;content evaluation survey
数据来源: Taylor
摘要:
Several variance estimators using auxiliary information were compared for estimating the variance of the total or ratio under a one unit per stratum sample design. The auxiliary information used consisted of data from the 1977 and 1982 Economic Census. One thousand probability proportional to size one primary sampling unit per stratum samples were selected for the Monte Carlo study of characteristics of interest in a content evaluation survey as part of the 1982 Economic Census program. Six variance estimators were applied to each sample and their bias and mean square errors were evaluated. The results are strikingly different between the variance estimators of the estimated total and ratio.
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