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Some convergence results for kernel-type quantile estimators under censoring

Author

Listed:
  • Lio, Y. L.
  • Padgett, W. J.

Abstract

Based on right-censored data from a lifetime distribution, some important asymptotic properties of kernel-type estimators of the quantile function are presented, including asymptotic normality and mean-square convergence (with a rate).

Suggested Citation

  • Lio, Y. L. & Padgett, W. J., 1987. "Some convergence results for kernel-type quantile estimators under censoring," Statistics & Probability Letters, Elsevier, vol. 5(1), pages 5-14, January.
    • Handle: RePEc:eee:stapro:v:5:y:1987:i:1:p:5-14
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    Cited by:

    1. M. A. Jácome & R. Cao, 2008. "Strong representation of the presmoothed quantile function estimator for censored data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(4), pages 425-440, November.

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