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Large deviations of U-empirical Kolmogorov–Smirnov tests and their efficiency

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  • Ya. Nikitin

Abstract

Non-degenerate U-empirical Kolmogorov–Smirnov tests are studied and their large deviation asymptotics under the null-hypothesis is described. Several examples of such statistics used for testing goodness-of-fit and symmetry are considered. It is shown how to calculate their local Bahadur efficiency.

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  • Ya. Nikitin, 2010. "Large deviations of U-empirical Kolmogorov–Smirnov tests and their efficiency," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(5), pages 649-668.
    • Handle: RePEc:taf:gnstxx:v:22:y:2010:i:5:p:649-668
    DOI: 10.1080/10485250903118085
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    References listed on IDEAS

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    1. Arcones, Miguel A., 1992. "Large deviations for U-statistics," Journal of Multivariate Analysis, Elsevier, vol. 42(2), pages 299-301, August.
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    Cited by:

    1. Jovanović, Milan & Milošević, Bojana & Nikitin, Ya. Yu. & Obradović, Marko & Volkova, K. Yu., 2015. "Tests of exponentiality based on Arnold–Villasenor characterization and their efficiencies," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 100-113.
    2. Bojana Milošević, 2016. "Asymptotic efficiency of new exponentiality tests based on a characterization," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(2), pages 221-236, February.
    3. Bojana Milošević & Marko Obradović, 2016. "Two-dimensional Kolmogorov-type goodness-of-fit tests based on characterisations and their asymptotic efficiencies," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(2), pages 413-427, June.
    4. James Allison & Bojana Milošević & Marko Obradović & Marius Smuts, 2022. "Distribution-free goodness-of-fit tests for the Pareto distribution based on a characterization," Computational Statistics, Springer, vol. 37(1), pages 403-418, March.
    5. Ya. Yu. Nikitin, 2018. "Local exact Bahadur efficiencies of two scale-free tests of normality based on a recent characterization," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(6), pages 609-618, August.

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