Convergence rate in limit theorems for weakly dependent random values

dc.contributor.author	Dubrovin V.
dc.date.accessioned	2018-09-18T20:34:41Z
dc.date.available	2018-09-18T20:34:41Z
dc.date.issued	2014
dc.identifier.issn	1995-0802
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/141326
dc.description.abstract	© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is determined, which makes it possible to extend limit theorems for independent random variables to the case of weakly dependent variables with the preservation of the convergence rate. An example of a sequence of random variables satisfying the new weak dependence condition is given.
dc.relation.ispartofseries	Lobachevskii Journal of Mathematics
dc.subject	convergence rate
dc.subject	independence
dc.subject	limit theorems
dc.subject	mixing
dc.subject	random variables
dc.subject	weak dependence
dc.title	Convergence rate in limit theorems for weakly dependent random values
dc.type	Article
dc.relation.ispartofseries-issue	4
dc.relation.ispartofseries-volume	35
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	390
dc.source.id	SCOPUS19950802-2014-35-4-SID84915754700

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