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A class of exponential-type ratio estimators of a general parameter

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  • Housila P. Singh
  • Surya K. Pal

Abstract

This paper addresses the problem of estimating a general parameter using information on an auxiliary variable X. We have suggested a class of exponential-type ratio estimators for the parameter and its properties are studied. It is identified that the estimators due to Upadhyaya et al. [Journal of Statistical Theory and Practice (2011), 5(2), 285–302] and Yadav and Kadilar [Revista Columbiana de Estadistica, (2013), 36(1), 145–152] are members of the proposed estimator. We have also shown that the suggested estimator is more efficient than the estimators of Upadhyaya et al. (2011) and Yadav and Kadilar (2013). Numerical illustration is provided in support of the present study.

Suggested Citation

  • Housila P. Singh & Surya K. Pal, 2017. "A class of exponential-type ratio estimators of a general parameter," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(8), pages 3957-3984, April.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:8:p:3957-3984
    DOI: 10.1080/03610926.2015.1076477
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    Cited by:

    1. Karna Jaishree Prabha & Nath Dilip Chandra, 2018. "Improved Rotation Patterns Using Two Auxiliary Variables In Successive Sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 25-44, March.

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