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dc.contributor.author Fazekas I.
dc.contributor.author Chuprunov A.
dc.date.accessioned 2018-09-17T21:36:23Z
dc.date.available 2018-09-17T21:36:23Z
dc.date.issued 2004
dc.identifier.issn 1786-0091
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/135203
dc.description.abstract A central limit theorem is proved for α-mixing random fields. The sets of locations where the random field is observed become more and more dense in an increasing sequence of domains. The central limit theorem concerns these observations. The limit theorem is applied to obtain asymptotic normality of kernel type density estimators. It turns out that in our setting the covariance structure of the limiting normal distribution can be a combination of those of the continuous parameter and the discrete parameter cases.
dc.relation.ispartofseries Acta Mathematica Academiae Paedagogicae Nyiregyhaziensis
dc.title A central limit theorem for random fields
dc.type Article
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 20
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 93
dc.source.id SCOPUS17860091-2004-20-1-SID4644356749


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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.

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