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Modeling of censored bivariate extremal events

  • Enkelejd Hashorva
  • , Chengxiu Ling*
  • , Zuoxiang Peng
  • *Corresponding author for this work
  • University of Lausanne
  • Southwest University

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper we consider the estimation of the coefficient of tail dependence and of small tail probability under a bivariate randomly censoring mechanism. A new class of generalized moment estimators of the coefficient of tail dependence and the estimator of small tail probability are proposed, respectively. Under the bivariate Hall-type conditions, the asymptotic distributions of these estimators are established. Monte Carlo simulations are performed and the new estimators are applied to an insurance data-set.

Original languageEnglish
Pages (from-to)323-338
Number of pages16
JournalJournal of the Korean Statistical Society
Volume43
Issue number3
DOIs
Publication statusPublished - Sept 2014
Externally publishedYes

Keywords

  • Bivariate Hall-class
  • Coefficient of tail dependence
  • Concomitant order statistics
  • Large claims
  • Randomly censoring
  • Small tail probability

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