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Zapiski Nauchnykh Seminarov POMI, 2017, Volume 466, Pages 67–80
(Mi znsl6541)
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This article is cited in 1 scientific paper (total in 1 paper)
Goodness-of-fit tests based on the characterization of uniformity by the ratio of order statistics, and their efficiencies
K. Yu. Volkova, M. S. Karakulov, Ya. Yu. Nikitin St. Petersburg State University, St. Petersburg, Russia
Abstract:
We construct integral and supremum type goodness-of-fit tests for the uniform law based on Ahsanullah's characterization of uniform law. We discuss limiting distributions of new tests and describe the logarithmic large deviation asymptotics of test statistics under null-hypothesis. This enables to calculate their local Bahadur efficiency under some parametric alternatives. Conditions of local optimality of new statistics are given.
Key words and phrases:
uniform distribution, hypotheses testing, characterization, $U$-statistics, large deviations, Bahadur efficiency, local optimality.
Received: 06.10.2017
Citation:
K. Yu. Volkova, M. S. Karakulov, Ya. Yu. Nikitin, “Goodness-of-fit tests based on the characterization of uniformity by the ratio of order statistics, and their efficiencies”, Probability and statistics. Part 26, Zap. Nauchn. Sem. POMI, 466, POMI, St. Petersburg, 2017, 67–80
Linking options:
https://www.mathnet.ru/eng/znsl6541 https://www.mathnet.ru/eng/znsl/v466/p67
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Abstract page: | 176 | Full-text PDF : | 67 | References: | 37 |
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