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Probabilistic time series forecasts with autoregressive transformation models

; ; ;

In
Statistics and computing 33(2), Seiten/Artikel-Nr.:37

ImpressumDordrecht [u.a.] : Springer Science + Business Media B.V

Umfang[1]-11

ISSN0960-3174

Online
DOI: 10.18154/RWTH-2023-02687
DOI: 10.1007/s11222-023-10212-8

URL: https://publications.rwth-aachen.de/record/953767/files/953767.pdf

Einrichtungen

  1. Institut für Statistik und Wirtschaftsmathematik (116400)
  2. Fachgruppe Mathematik (110000)


Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85147513320
WOS Core Collection: WOS:000926499800005

Interne Identnummern
RWTH-2023-02687
Datensatz-ID: 953767

Beteiligte Länder
Germany, Switzerland

 GO

Medline ; Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Clarivate Analytics Master Journal List ; DEAL Springer ; DEAL Springer ; Essential Science Indicators ; Essential Science Indicators ; IF < 5 ; JCR ; NationallizenzNationallizenz ; NationallizenzNationallizenz ; SCOPUS ; SCOPUS ; Science Citation Index Expanded ; Science Citation Index Expanded ; Web of Science Core Collection ; Web of Science Core Collection
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110000
116400
 Record created 2023-03-16, last modified 2023-10-10
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