Quantile estimation for left truncated and right censored data

Xian Zhou*, Liuquan Sun, Haobo Ren

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

In this paper we study the estimation of a quantile function based on left truncated and right censored data by the kernel smoothing method. Asymptotic normality and a Berry-Esseen type bound for the kernel quantile estimator are derived. Monte Carlo studies are conducted to compare the proposed estimator with the PL-quantile estimator.

Original languageEnglish
Pages (from-to)1217-1229
Number of pages13
JournalStatistica Sinica
Volume10
Issue number4
Publication statusPublished - Oct 2000
Externally publishedYes

Keywords

  • Asymptotic normality
  • Berry-Esseen type bound
  • Kernel estimation
  • Quantile function
  • Truncated and censored data

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