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Teoriya Veroyatnostei i ee Primeneniya, 1996, Volume 41, Issue 2, Pages 310–322
DOI: https://doi.org/10.4213/tvp2936 (Mi tvp2936) 		 
Empirical distribution function in an experiment with binomial randomization

O. I. Shipilov

Central Aerological Observatory
Full-text PDF (706 kB)
DOI: https://doi.org/10.4213/tvp2936
Abstract: The paper examines an empirical distribution function generated by a random binomial sampling from a finite population. A comparative binomially randomized experiment is represented as a procedure of alternative binomial sampling from two finite populations. The proposed analogues of the Kolmogorov and Smirnov tests are based on probabilities introduced by binomial sampling.
Keywords: empirical distribution function, binomial random sampling, finite population, randomized experiment, Kolmogorov and Smirnov tests.
Received: 03.12.1993
English version:
Theory of Probability and its Applications, 1997, Volume 41, Issue 2, Pages 307–316
DOI: https://doi.org/10.1137/S0040585X97975514
Bibliographic databases:
Language: Russian
Citation: O. I. Shipilov, “Empirical distribution function in an experiment with binomial randomization”, Teor. Veroyatnost. i Primenen., 41:2 (1996), 310–322; Theory Probab. Appl., 41:2 (1997), 307–316
Citation in format AMSBIB
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\paper Empirical distribution function in~an~experiment with binomial randomization
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\pages 310--322
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\transl
\jour Theory Probab. Appl.
\yr 1997
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\issue 2
\pages 307--316
\crossref{https://doi.org/10.1137/S0040585X97975514}
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  • https://www.mathnet.ru/eng/tvp/v41/i2/p310
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Теория вероятностей и ее применения Theory of Probability and its Applications
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