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Confidence intervals for quantile estimation using Jackknife techniques

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  • Y. Román-Montoya
  • M. Rueda
  • A. Arcos

Abstract

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Suggested Citation

  • Y. Román-Montoya & M. Rueda & A. Arcos, 2008. "Confidence intervals for quantile estimation using Jackknife techniques," Computational Statistics, Springer, vol. 23(4), pages 573-585, October.
    • Handle: RePEc:spr:compst:v:23:y:2008:i:4:p:573-585
    DOI: 10.1007/s00180-007-0099-z
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    References listed on IDEAS

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    1. Rueda, M. M. & Arcos, A. & Martinez-Miranda, M. D. & Roman, Y., 2004. "Some improved estimators of finite population quantile using auxiliary information in sample surveys," Computational Statistics & Data Analysis, Elsevier, vol. 45(4), pages 825-848, May.
    2. M. Mar Rueda & Antonio Arcos & M. Dolores Martínez, 2003. "Difference estimators of quantiles in finite populations," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(2), pages 481-496, December.
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    Citations

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    Cited by:

    1. Iglesias Emma M. & Phillips Garry D. A., 2017. "The use of bias correction versus the Jackknife when testing the mean reversion and long term mean parameters in continuous time models," Monte Carlo Methods and Applications, De Gruyter, vol. 23(3), pages 159-164, September.
    2. Hristos Tyralis & Demetris Koutsoyiannis & Stefanos Kozanis, 2013. "An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters," Computational Statistics, Springer, vol. 28(4), pages 1501-1527, August.

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