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Estimation of Finite Population Mean in Stratified Random Sampling with Two Auxiliary Variables under Double Sampling Design

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  • Sat Gupta
  • Javid Shabbir

Abstract

In this article, a chain ratio-product type exponential estimator is proposed for estimating finite population mean in stratified random sampling with two auxiliary variables under double sampling design. Theoretical and empirical results show that the proposed estimator is more efficient than the existing estimators, i.e., usual stratified random sample mean estimator, Chand (1975) chain ratio estimator, Choudhary and Singh (2012) estimator, chain ratio-product-type estimator, Sahoo et al. (1993) difference type estimator, and Kiregyera (1984) regression-type estimator. Two data sets are used to illustrate the performances of different estimators.

Suggested Citation

  • Sat Gupta & Javid Shabbir, 2015. "Estimation of Finite Population Mean in Stratified Random Sampling with Two Auxiliary Variables under Double Sampling Design," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(13), pages 2798-2808, July.
    • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:13:p:2798-2808
    DOI: 10.1080/03610926.2013.847104
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    Cited by:

    1. Yadav Rohini & Tailor Rajesh, 2020. "Estimation of finite population mean using two auxiliary variables under stratified random sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 21(1), pages 1-12, March.

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