IMPROVED EXPONENTIAL RATIO-TYPE ESTIMATORS IN SURVEY SAMPLING

Authors

  • Aamir Sanaullah National College of Business Anministration and Economics, Lahore, Pakistan
  • Hina Khan GC University, Lahore, Pakistan
  • Humera Ameer Ali GC University, Lahore, Pakistan
  • Rajesh Singh epartment of Statistics, BHU, Varanasi(U.P.), India

Keywords:

Auxiliary Variable, Two Phase Sampling, Mean Square Error (MSE), Bias, Efficiency.

Abstract

In this paper some improved exponential ratio-type estimators have been proposed for estimating the finite populations mean using auxiliary information on two auxiliary variables in double sampling. The properties of the proposed estimators have been analyzed for independent and dependent samples case under simple random sampling without replacement (SRSWOR). An empirical study is carried out to demonstrate the performance of proposed estimators over Noor- ul-Amin and Hanif (2012), Singh et al. (2008), Singh and Vishvakarma (2007), and Classical Ratio Estimator.

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References

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Published

2012-12-03

How to Cite

Sanaullah, A. ., Khan, H. ., Ali, H. A. ., & Singh, R. . (2012). IMPROVED EXPONENTIAL RATIO-TYPE ESTIMATORS IN SURVEY SAMPLING. Journal of Reliability and Statistical Studies, 5(02), 119–132. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21921

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