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Tests for detecting more NBU-ness at a specific age

  • Jae Hak Lim
  • , Dae Kyung Kim
  • , Dong Ho Park*
  • *Corresponding author for this work
  • Hanbat National University
  • Hallym University

Research output: Contribution to journalJournal articlepeer-review

Abstract

This paper proposes a class of non-parametric test procedures for testing the null hypothesis that two distributions, F and G, are equal versus the alternative hypothesis that F is 'more NBU (new better than used) at specified age to' than G. Using Hoeffding's two-sample U-statistic theorem, it establishes the asymptotic normality of the test statistics and produces a class of asymptotically distribution-free tests. Pitman asymptotic efficacies of the proposed tests are calculated with respect to the location and shape parameters. A numerical example is provided for illustrative purposes.

Original languageEnglish
Pages (from-to)329-337
Number of pages9
JournalAustralian and New Zealand Journal of Statistics
Volume47
Issue number3
DOIs
StatePublished - 2005.09

Keywords

  • Consistency
  • NBU
  • NBU-t
  • Pitman asymptotic efficacy
  • U-statistic

Quacquarelli Symonds(QS) Subject Topics

  • Mathematics
  • Statistics & Operational Research
  • Data Science

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