Asymptotic of the Necessary Sample Size in the Two Hypotheses Discrimination Problem

dc.contributor.author	Simushkin D.S.
dc.date.accessioned	2021-02-25T20:51:40Z
dc.date.available	2021-02-25T20:51:40Z
dc.date.issued	2020
dc.identifier.issn	1995-0802
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/162535
dc.description.abstract	© 2020, Pleiades Publishing, Ltd. Abstract: An asymptotic representation for the minimum sufficient sample size while distinguishing between two one-sided hypotheses concerning the average value of the normal distribution with a normal prior distribution and restrictions on the d-posterior probabilities of errors is proposed.
dc.relation.ispartofseries	Lobachevskii Journal of Mathematics
dc.subject	d-posterior approach
dc.subject	normal-normal model
dc.subject	one-sided hypotheses
dc.subject	sample size
dc.title	Asymptotic of the Necessary Sample Size in the Two Hypotheses Discrimination Problem
dc.type	Article
dc.relation.ispartofseries-issue	3
dc.relation.ispartofseries-volume	41
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	416
dc.source.id	SCOPUS19950802-2020-41-3-SID85087985883

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.