An Improved Estimation Procedure of the Mean of a Sensitive Variable Using Auxiliary Information

Tanveer At and Housila Ps
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Tanveer At: Department of Computer Science and Engineering, Islamic University of Science and Technology, India
Housila Ps: School of Studies in Statistics, Vikram University Ujjain, India

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 2, 26-33

Abstract: This paper proposes new ratio and regression estimators for the mean of sensitive variable utilizing information on a non – sensitive auxiliary variable. Expressions for the Biases and mean square errors of the suggested estimators correct up to first order of approximation are derived. It has been shown that the suggested new ratio and regression estimators are better than conventional unbiased estimators which do not utilize the auxiliary information, Sousa et al. [1] ratio estimator and Gupta et al. [2] regression estimator under a very realistic condition. In support of the present study we have also given the numerical illustrations.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:2:p:26-33

DOI: 10.19080/BBOAJ.2017.03.555607

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