DC FieldValueLanguage
dc.contributor.authorGouveia, Sántos-
dc.contributor.authorScotto, Manuel G.-
dc.contributor.authorWeiß, Christian H.-
dc.contributor.authorFerreira, Paulo George S.G.-
dc.date.accessioned2020-04-15T09:35:52Z-
dc.date.available2020-04-15T09:35:52Z-
dc.date.issued2017-
dc.identifier.citationEnthalten in: Journal of the Royal Statistical Society / C. - Oxford : Wiley-Blackwell, 1952. - Online-Ressource . - Bd. 66.2017, 2, Seite 253-271de_DE
dc.description.sponsorshipQuantitative Methoden der Wirtschaftswissenschaftende_DE
dc.language.isoende_DE
dc.publisherWiley-Blackwellde_DE
dc.relation.ispartofJournal of the Royal Statistical Society / Cde_DE
dc.titleBinary auto-regressive geometric modelling in a DNA contextde_DE
dc.typeArticlede_DE
dc.identifier.doi10.1111/rssc.12172-
dcterms.bibliographicCitation.volume66de_DE
dcterms.bibliographicCitation.issue2de_DE
dcterms.bibliographicCitation.pagestart253de_DE
dcterms.bibliographicCitation.pageend271de_DE
dcterms.bibliographicCitation.originalpublisherplaceOxfordde_DE
dc.identifier.urlhttps://ub.hsu-hh.de/DB=1.8/XMLPRS=N/PPN?PPN=867469900-
local.submission.typeonly-metadatade_DE
item.grantfulltextnone-
item.fulltext_sNo Fulltext-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeArticle-
crisitem.author.deptQuantitative Methoden der Wirtschaftswissenschaften-
crisitem.author.parentorgFakultät für Wirtschafts- und Sozialwissenschaften-
Appears in Collections:2017
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