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Generalized Ratio Cum Regression Type Estimator For Population Mean Using Auxiliary Variable With Double Sampling In The Presence Of Non Response

Author

Listed:
  • B. B. KHARE

    (Banaras Hindu University, Faculty of Science, Department of Statistics, India)

  • Habib ur REHMAN

    (Banaras Hindu University, Faculty of Science, Department of Statistics, India)

Abstract

Generalized ratio cum regression type estimator for population mean using auxiliary variable with double sampling in the presence of non response has been proposed and its properties have been studied. A comparative study of the proposed estimator has been made with the relevant estimators. For optimum value of ?1 , the proposed estimator is found to be more efficient than the relevant estimator which is supported by the empirical study. A range for ?1 has been obtained for which the proposed estimator is more efficient than relevant estimators.

Suggested Citation

  • B. B. KHARE & Habib ur REHMAN, 2014. "Generalized Ratio Cum Regression Type Estimator For Population Mean Using Auxiliary Variable With Double Sampling In The Presence Of Non Response," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 3(1), pages 1-9, JULY.
    • Handle: RePEc:aes:jsesro:v:3:y:2014:i:1:p:1-9
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    References listed on IDEAS

    as
    1. B. Kiregyera, 1980. "A chain ratio-type estimator in finite population double sampling using two auxiliary variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 27(1), pages 217-223, December.
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    More about this item

    Keywords

    Mean square error; two phase sampling; auxiliary variable; Non-response;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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