Application of multinomial and ordinal logistic regression to model injury severity of truck crashes, using violation and crash data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2196-0577
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Application of multinomial and ordinal logistic regression to model injury severity of truck crashes, using violation and crash data ; day:22 ; month:6 ; year:2018 ; pages:1-10
Journal of modern transportation ; (22.6.2018), 1-10
- Klassifikation
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Ingenieurwissenschaften und Maschinenbau
- Urheber
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Rezapour, Mahdi
- Beteiligte Personen und Organisationen
-
Ksaibati, Khaled
SpringerLink (Online service)
- DOI
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10.1007/s40534-018-0166-x
- URN
-
urn:nbn:de:101:1-2018090119101296857323
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Rezapour, Mahdi
- Ksaibati, Khaled
- SpringerLink (Online service)
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