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New Model-assisted Estimators for the Distribution Function Using the Pseudo Empirical Likelihood Method


  • M. Rueda
  • J.F. Muñoz


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  • M. Rueda & J.F. Muñoz, 2009. "New Model-assisted Estimators for the Distribution Function Using the Pseudo Empirical Likelihood Method," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(2), pages 227-244.
  • Handle: RePEc:bla:stanee:v:63:y:2009:i:2:p:227-244

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    References listed on IDEAS

    1. J. Chen, 2002. "Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys," Biometrika, Biometrika Trust, vol. 89(1), pages 230-237, March.
    2. Changbao Wu, 2003. "Optimal calibration estimators in survey sampling," Biometrika, Biometrika Trust, vol. 90(4), pages 937-951, December.
    3. M. Rueda & J. Muñoz & Y. Berger & A. Arcos & S. Martínez, 2007. "Pseudo empirical likelihood method in the presence of missing data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(3), pages 349-367, May.
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    Cited by:

    1. Martínez, S. & Rueda, M. & Arcos, A. & Martínez, H. & Sánchez-Borrego, I., 2011. "Post-stratified calibration method for estimating quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 838-851, January.
    2. Muñoz, J.F. & Arcos, A. & Álvarez, E. & Rueda, M., 2014. "New ratio and difference estimators of the finite population distribution function," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 51-61.

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