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Exponential Estimators of Finite Population Variance Using Transformed Auxiliary Variables

  • Uzma YasmeenEmail author
  • Muhammad Noor-ul-Amin
  • Muhammad Hanif
Research Article
  • 120 Downloads

Abstract

This study is based on the proposal of generalized exponential estimator for finite population variance using two transformed auxiliary variables. The expressions for mean square errors and the minimum values for the optimized constants are obtained. The conditions are obtained for which the proposed estimator are better than existing estimators. The result of empirical and simulation study indicates that the suggested estimator is efficient than existing estimators for population variance.

Keywords

Transformed auxiliary variables Relative efficiency Exponential estimator 

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Copyright information

© The National Academy of Sciences, India 2018

Authors and Affiliations

  • Uzma Yasmeen
    • 1
    Email author
  • Muhammad Noor-ul-Amin
    • 2
  • Muhammad Hanif
    • 1
  1. 1.National College of Business Administration and EconomicsLahorePakistan
  2. 2.Comsats Institute of Information TechnologyLahorePakistan

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