Publication | Closed Access
Bahadur efficiency of a test of exponentiality based on a loss-of-memory type functional equation
30
Citations
14
References
1996
Year
Large DeviationsEngineeringApproximation TheoryBahadur Local EfficiencyKolmogorov ComplexityStatistical FoundationBahadur EfficiencySpecial KernelStochastic GeometryMathematical StatisticAngus TestFunctional Data AnalysisStatisticsExponential Algorithm
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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