Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://hdl.handle.net/11701/41482
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorMelas, Vyacheslav B.-
dc.date.accessioned2023-05-18T21:52:41Z-
dc.date.available2023-05-18T21:52:41Z-
dc.date.issued2023-05-
dc.identifier.citationMelas V.B. On the asymptotic power of a method for testing hypothesis about equality of distributions. Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy, 2023, vol. 10 (68), issue 2, pp. 249–258. https://doi.org/10.21638/spbu01.2023.206 (In Russian)en_GB
dc.identifier.otherhttps://doi.org/10.21638/spbu01.2023.206-
dc.identifier.urihttp://hdl.handle.net/11701/41482-
dc.description.abstractThe paper is devoted to studying the asymptotic power of a method for testing hypothesis on equality of two distributions that can be considered as a generalization of Mann— Whitney—Wilcoxon test. We consider a class of distributions such that the expectation of the square of an auxiliary function is finite. For the case when alternative distribution differ from the initial one only by a shift the asymptotic distribution and asymptotic power of the test are found explicitly. Up to now the power of the test was studied only by stochastic simulation.en_GB
dc.description.sponsorshipThis work was supported by the Russian Foundation for Basic Research (project no. 20-01-00096-a).en_GB
dc.language.isoruen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesVestnik of St Petersburg University. Mathematics. Mechanics. Astronomy;Volume 10; Issue 2-
dc.subjecttesting hypothesis on equality of two distributionsen_GB
dc.subjectasymptotic power of statististical testsen_GB
dc.subjectNormal distributionen_GB
dc.subjectCashy distributionen_GB
dc.titleOn the asymptotic power of a method for testing hypothesis about equality of distributionsen_GB
dc.typeArticleen_GB
Располагается в коллекциях:Issue 2

Файлы этого ресурса:
Файл Описание РазмерФормат 
249-258.pdf309,42 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.