On large deviations of smoothed Kolmogorov-Smirnov's statistics

DOI10.3103/S106345411102004XOpenAlexW2059488115MaRDI QIDQ1759508

Xianqiang Yang

Publication date: 21 November 2012

Published in: Vestnik St. Petersburg University. Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s106345411102004x

zbMATH Keywords

large deviationsmoment generating functionKolmogorov-Smirnov statisticssmoothed empirical distribution function

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• On Kolmogorov-Smirnov-type tests for symmetry
• A theorem about probabilities of large deviations with an application to queuing theory
• Large deviations for kernel-type empirical distributions.
• Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
• Nonparametric estimates of distribution functions
• Bandwith selection for the smoothing of distribution functions
• A New Kernel Distribution Function Estimator Based on a Non‐parametric Transformation of the Data
• Some New Estimates for Distribution Functions
• Exact Bahadur Efficiencies for the Kolmogorov-Smirnov and Kuiper One- and Two-Sample Statistics

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