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Variance estimation using auxiliary information: An almost unbiased multivariate ratio estimator

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  • A. Cebrián
  • M. García

Abstract

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Suggested Citation

  • A. Cebrián & M. García, 1997. "Variance estimation using auxiliary information: An almost unbiased multivariate ratio estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 45(1), pages 171-178, January.
    • Handle: RePEc:spr:metrik:v:45:y:1997:i:1:p:171-178
    DOI: 10.1007/BF02717100
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    References listed on IDEAS

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    1. M. Garcia & A. Cebrian, 1996. "Repeated substitution method: The ratio estimator for the population variance," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 43(1), pages 101-105, December.
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    Cited by:

    1. M. Rueda & A. Arcos, 2004. "Improving ratio-type quantile estimates in a finite population," Statistical Papers, Springer, vol. 45(2), pages 231-248, April.
    2. Sarjinder Singh & Balbinder Deo, 2003. "Imputation by power transformation," Statistical Papers, Springer, vol. 44(4), pages 555-579, October.
    3. Rajesh Tailor & Balkishan Sharma, 2012. "Modified estimators of population variance in presence of auxiliary information," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(1), pages 37-46, March.
    4. Housila Singh & Ramkrishna Solanki, 2013. "A new procedure for variance estimation in simple random sampling using auxiliary information," Statistical Papers, Springer, vol. 54(2), pages 479-497, May.

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