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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors.

ABSTRACT: In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study.

SUBMITTER: Zahid E

PROVIDER: S-EPMC6370250 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors.

Zahid Erum E Shabbir Javid J

PloS one 20190211 2

In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study. ...[more]

PMID: 30742674

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