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Repeated substitution method: The ratio estimator for the population variance

Author

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  • M. Garcia
  • A. Cebrian

Abstract

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Suggested Citation

  • 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.
    • Handle: RePEc:spr:metrik:v:43:y:1996:i:1:p:101-105
    DOI: 10.1007/BF02613900
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Sarjinder Singh, 2006. "Survey statisticians celebrate golden jubilee year 2003 of the linear regression estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 63(1), pages 1-18, February.
    4. 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.
    5. 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.
    6. Muhammad Riaz & Ronald Does, 2009. "A process variability control chart," Computational Statistics, Springer, vol. 24(2), pages 345-368, May.
    7. Pandey Ranjita & Yadav Kalpana, 2017. "Population Variance Estimation Using Factor Type Imputation Method," Statistics in Transition New Series, Statistics Poland, vol. 18(3), pages 375-392, September.
    8. Muhammad Riaz, 2008. "Monitoring process variability using auxiliary information," Computational Statistics, Springer, vol. 23(2), pages 253-276, April.
    9. M. Rueda & A. Arcos, 2004. "Improving ratio-type quantile estimates in a finite population," Statistical Papers, Springer, vol. 45(2), pages 231-248, April.
    10. Sarjinder Singh & Balbinder Deo, 2003. "Imputation by power transformation," Statistical Papers, Springer, vol. 44(4), pages 555-579, October.

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