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Bahadur efficiency of a test of exponentiality based on a loss-of-memory type functional equation

Author: Ya. Yu. Nikitin - a
Affiliation:   a Department of Mathematics and Mechanics, St. Petersburg University, St. Petersburg, Russia
DOI: 10.1080/10485259608832660
Publication Frequency: 8 issues per year
Published in: journal Journal of Nonparametric Statistics, Volume 6, Issue 1 1996 , pages 13 - 26
Formats available: PDF (English)
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Abstract

A test of exponentiality of Kolmogorov-Smirnov type based on a simplified variant of Ioss-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.
Keywords: Exponential distribution; memoryless property; large deviations; U-statistics; Bahadur slope; consistency
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