A mixture model of proportional reversed hazard rate

Xiaohu Li, Zhouping Li

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

This article investigates properties of mixture model of proportional reversed hazard rate. Firstly, the mixing random variable and the overall population variable are proved to be positively likelihood dependent. Secondly, lower bounds for the distribution function as well as the conditional distribution are established in the case that the mixing variable belongs to certain nonparametric classes. Finally, some stochastic orders on the mixing (baseline) variables are proved to be translated to the corresponding overall population variables.

Original languageEnglish
Pages (from-to)2953-2963
Number of pages11
JournalCommunications in Statistics - Theory and Methods
Volume37
Issue number18
DOIs
StatePublished - Jan 2008

Keywords

  • DRHR
  • HNBUE
  • Hazard rate order
  • Likelihood ratio order
  • Positively likelihood ratio dependent

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