A local linear estimation of conditional hazard function in censored data

  • Choongrak Kim
  • , Minkyung Oh
  • , Seong J. Yang
  • , Hyemi Choi*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

A local linear estimator of the conditional hazard function in censored data is proposed. The estimator suggested in this paper is motivated by the ideas of Fan, Yao, and Tong (1996) and Kim, Bae, Choi, and Park (2005). The asymptotic distribution of the proposed estimator is derived, and some numerical results are also provided.

Original languageEnglish
Pages (from-to)347-355
Number of pages9
JournalJournal of the Korean Statistical Society
Volume39
Issue number3
DOIs
StatePublished - 2010.09

Keywords

  • Bandwidth
  • Kaplan-Meier estimator
  • Kernel smoothing
  • Local linear estimation

Quacquarelli Symonds(QS) Subject Topics

  • Mathematics
  • Statistics & Operational Research
  • Data Science

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