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Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/98378
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dc.contributor.authorKirch, Claudia-
dc.date.accessioned2023-01-24T13:21:59Z-
dc.date.available2023-01-24T13:21:59Z-
dc.date.issued2021-
dc.date.submitted2021-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/100334-
dc.identifier.urihttp://dx.doi.org/10.25673/98378-
dc.description.sponsorshipProjekt DEAL 2021-
dc.language.isoeng-
dc.relation.ispartofhttp://link.springer.com/journal/362-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectRezensionger
dc.subjectAlexander G. Tartakovskyeng
dc.subject.ddc510.72-
dc.titleAlexander G. Tartakovsky (2020): Sequential change detection and hypothesis - general non-i.i.d. stochastic models and asymptotically optimal ruleseng
dcterms.typeRezension-
dc.typeArticle-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-1003347-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleStatistical papers-
local.bibliographicCitation.volume62-
local.bibliographicCitation.pagestart1559-
local.bibliographicCitation.pageend1561-
local.bibliographicCitation.publishernameSpringer-
local.bibliographicCitation.publisherplaceBerlin-
local.bibliographicCitation.doi10.1007/s00362-021-01230-7-
local.openaccesstrue-
dc.identifier.ppn1779048882-
local.bibliographicCitation.year2021-
cbs.sru.importDate2023-01-24T13:13:54Z-
local.bibliographicCitationEnthalten in Statistical papers - Berlin : Springer, 1988-
local.accessrights.dnbfree-
Appears in Collections:Fakultät für Mathematik (OA)

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