- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1552-7824
- Umfang
-
Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Revisiting Gaussian copulas to handle endogenous regressors ; volume:50 ; number:1 ; day:11 ; month:10 ; year:2021 ; pages:46-66 ; date:1.2022
Journal of the Academy of Marketing Science / Academy of Marketing Science ; 50, Heft 1 (11.10.2021), 46-66, 1.2022
- Klassifikation
-
Wirtschaft
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11747-021-00805-y
- URN
-
urn:nbn:de:101:1-2022052519544346524232
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Beteiligte
- Becker, Jan-Michael
- Proksch, Dorian
- Ringle, Christian M.
- SpringerLink (Online service)
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