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
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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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.
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| Keywords: Exponential distribution; memoryless property; large deviations; U-statistics; Bahadur slope; consistency |
| view references (25) : view citations |

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