Empirical likelihood based hypothesis testing

John H. J. Einmahl, Ian W. Mckeague

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

83 Citations (Scopus)

Abstract

Omnibus tests for various nonparametric hypotheses are developed using the empirical likelihood method. These include tests for symmetry about zero, changes in distribution, independence and exponentiality. The approach is to localize the empirical likelihood using a suitable 'time' variable implicit in the null hypothesis and then form an integral of the log-likelihood ratio statistic. The asymptotic null distributions of these statistics are established. In simulation studies, the proposed statistics are found to have greater power than corresponding Cramér-von Mises type statistics. © 2003 ISI/BS.
Original languageEnglish
Pages (from-to)267-290
JournalBernoulli
Volume9
Issue number2
DOIs
Publication statusPublished - Apr 2003
Externally publishedYes

Bibliographical note

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Research Keywords

  • Change point
  • Distribution-free
  • Exponentiality
  • Independence
  • Nonparametric likelihood ratio
  • Symmetry
  • Two-sample problem

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