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Product Exponential Method Of Imputation In Sample Surveys

Author

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  • Prasad Shakti

    (Department of Basic & Applied Science National Institute of Technology, Arunachal Pradesh, Yupia, Papum pare, - 791112, India)

Abstract

In this paper, a product exponential method of imputation has been suggested and their corresponding resultant point estimator has been proposed for estimating the population mean in sample surveys. The expression of bias and the mean square error of the suggested estimator has also been derived, up to the first order of large sample approximations. Compared with the mean imputation method, Singh and Deo (Statistical Papers (2003)) and Adapted estimator (Bahl and Tuteja (1991)), the simulation studies show that the suggested estimator is the most efficient estimator.

Suggested Citation

  • Prasad Shakti, 2018. "Product Exponential Method Of Imputation In Sample Surveys," Statistics in Transition New Series, Statistics Poland, vol. 19(1), pages 159-166, March.
  • Handle: RePEc:vrs:stintr:v:19:y:2018:i:1:p:159-166:n:4
    DOI: 10.21307/stattrans-2018-010
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    References listed on IDEAS

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    1. Sarjinder Singh & Balbinder Deo, 2003. "Imputation by power transformation," Statistical Papers, Springer, vol. 44(4), pages 555-579, October.
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    1. Shakti Prasad, 2018. "Product Exponential Method Of Imputation In Sample Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 159-166, March.
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