A test of exponentiality of Kolmogorov-Smirnov type based on a simplified variant of loss-of-memory property and proposed by Angus [3] is considered. We find corresponding large-deviation asymptotics under the null-hypothesis reducing the problem to large deviations of U-statistics with a special kernel. As a corollary, Bahadur local efficiency of Angus test is calculated for most commonly used parametric alternatives to exponentiality.

Original languageEnglish
Pages (from-to)13-26
Number of pages14
JournalJournal of Nonparametric Statistics
Volume6
Issue number1
DOIs
StatePublished - 1 Jan 1996

    Research areas

  • Bahadur slope, Consistency, Exponential distribution, Large deviations, Memoryless property, U-statistics

    Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

ID: 47771415