Quantile residual lifetime for left-truncated and right-censored data

  • Yi Xin Wang*
  • , Peng Liu
  • , Yong Zhou
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This article proposes a simple nonparametric estimator of quantile residual lifetime function under left-truncated and right-censored data. The asymptotic consistency and normality of this estimator are proved and the variance expression is calculated. Two bootstrap procedures are employed in the simulation study, where the latter bootstrap from Zeng and Lin (2008) is 4000 times faster than the former naive one, and the numerical results in both methods show that our estimating approach works well. A real data example is used to illustrate its application.

Original languageEnglish
Pages (from-to)1217-1234
Number of pages18
JournalScience China Mathematics
Volume58
Issue number6
DOIs
StatePublished - 1 Jun 2015
Externally publishedYes

Keywords

  • empirical process
  • left-truncated
  • quantile residual lifetime
  • right-censored

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