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Asymptotic statistical results: theory and practice

dc.contributor.authorKitsos, Christos P.
dc.contributor.authorOliveira, Amilcar
dc.date.accessioned2021-05-14T07:41:31Z
dc.date.available2021-05-14T07:41:31Z
dc.date.issued2020-06-06
dc.description.abstractThe target of this paper is to discuss the existent difference of Asymptotic Theory in Statistics comparing to Mathematics. There is a need for a limiting distribution in Statistics, usually the Normal one. Adopting the sequential principle the first-order autoregression model and the stochastic approximation are referred for their particular interest for asymptotic results.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-44625-3_10pt_PT
dc.identifier.isbn978-3-030-44624-6
dc.identifier.urihttp://hdl.handle.net/10400.2/10737
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectSequentialpt_PT
dc.subjectStochastic approximationpt_PT
dc.subjectAR(1)pt_PT
dc.subjectPercentilespt_PT
dc.titleAsymptotic statistical results: theory and practicept_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage190pt_PT
oaire.citation.startPage177pt_PT
oaire.citation.titleComputational Mathematics and Variational Analysispt_PT
oaire.citation.volume159pt_PT
person.familyNameKitsos
person.familyNameOliveira
person.givenNameChristos P.
person.givenNameAmilcar
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.orcid0000-0003-3084-0150
person.identifier.orcid0000-0001-5500-7742
person.identifier.scopus-author-id55675222550
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublicationc35aefb9-c71f-47a0-9826-0a9f82f89581
relation.isAuthorOfPublication1c873476-22fd-4331-8286-ff5576ac3b0c
relation.isAuthorOfPublication.latestForDiscovery1c873476-22fd-4331-8286-ff5576ac3b0c

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