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Unbiased ratio-type variance estimation

Author

Listed:
  • Agrawal, M. C.
  • Sthapit, A. B.

Abstract

Based on auxiliary information, certain new ratio-type strategies for estimating the population variance, aside from the existing ones that are biased, have been proposed with a view to achieving unbiasedness for them via appropriate sampling schemes. While mooting one of the estimators, consideration has been shown to the fact that knowledge of the population mean is available. Relative performance of these estimators has also been examined.

Suggested Citation

  • Agrawal, M. C. & Sthapit, A. B., 1995. "Unbiased ratio-type variance estimation," Statistics & Probability Letters, Elsevier, vol. 25(4), pages 361-364, December.
    • Handle: RePEc:eee:stapro:v:25:y:1995:i:4:p:361-364
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    Cited by:

    1. Pandey Ranjita & Yadav Kalpana, 2017. "Population Variance Estimation Using Factor Type Imputation Method," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 375-392, September.
    2. Ranjita Pandey & Kalpana Yadav, 2017. "Population Variance Estimation Using Factor Type Imputation Method," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 375-392, September.

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