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An improved estimator to analyse missing data

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  • S. González
  • M. Rueda
  • A. Arcos

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Suggested Citation

  • S. González & M. Rueda & A. Arcos, 2008. "An improved estimator to analyse missing data," Statistical Papers, Springer, vol. 49(4), pages 791-796, October.
    • Handle: RePEc:spr:stpapr:v:49:y:2008:i:4:p:791-796
    DOI: 10.1007/s00362-007-0045-8
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    References listed on IDEAS

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    1. M. Rueda & S. González, 2004. "Missing data and auxiliary information in surveys," Computational Statistics, Springer, vol. 19(4), pages 551-567, December.
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    Cited by:

    1. Majid Mojirsheibani & Timothy Reese, 2017. "Kernel regression estimation for incomplete data with applications," Statistical Papers, Springer, vol. 58(1), pages 185-209, March.
    2. Wojciech Gamrot, 2012. "Estimation of finite population kurtosis under two-phase sampling for nonresponse," Statistical Papers, Springer, vol. 53(4), pages 887-894, November.
    3. Jianglin Fang, 2021. "Feature screening for ultrahigh-dimensional survival data when failure indicators are missing at random," Statistical Papers, Springer, vol. 62(3), pages 1141-1166, June.
    4. Amer Al-Omari & Carlos Bouza & Carmelo Herrera, 2013. "Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 353-365, January.

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