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The generalized family of estimators of population mean using auxiliary information in double sampling

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  • Ramkrishna S. Solanki
  • Housila P. Singh

Abstract

We suggested the class of estimators of the population mean with its bias and mean square error. It has been shown that the suggested class is more efficient than the usual unbiased, ratio, product and regression estimators and estimators due to Bahl and Tuteja (1991), Singh et al. (2009), and Upadhyaya et al. (2011). In addition an empirical study also carried out to and founded that the members of suggested family also have improvement over Grover and Kaur (2011) and Shabbir and Gupta (2011) classes. Two-phase (double) sampling version of the proposed class was also given.

Suggested Citation

  • Ramkrishna S. Solanki & Housila P. Singh, 2016. "The generalized family of estimators of population mean using auxiliary information in double sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(14), pages 4086-4105, July.
    • Handle: RePEc:taf:lstaxx:v:45:y:2016:i:14:p:4086-4105
    DOI: 10.1080/03610926.2014.882951
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