Object
Title: Predicting the default risk of companies. Comparison of credit scoring models: LOGIT vs Support Vector Machines
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Description:
Econometrics = Ekonometria, 2018, Vol. 22, No. 2, s. 54-73
Abstrakt:
Publisher:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
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Date:
Resource Type:
Resource Identifier:
doi:10.15611/eada.2018.2.05 ; oai:dbc.wroc.pl:41164
Language:
Relation:
Econometrics = Ekonometria, 2018, Vol. 22, No. 2
Rights:
Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy
Access Rights:
Dla wszystkich zgodnie z licencją
License:
CC BY-NC-ND 3.0 PL
Location:
Object collections:
- Lower Silesian Digital Library > Participants of the Consortium > 04. Wroclaw University of Economics > Periodicals published by the University Publishing House
- Lower Silesian Digital Library > Participants of the Consortium > 04. Wroclaw University of Economics > Periodicals published by the University Publishing House > Econometrics = Ekonometria. Advances in Applied Data Analysis
- Lower Silesian Digital Library > Resources > 2. Czasopisma > Czasopisma współczesne
Last modified:
Jun 11, 2022
In our library since:
May 18, 2018
Number of object content hits:
724
All available object's versions:
https://dbc.wroc.pl/publication/49049
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Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| Predicting the default risk of companies. Comparison of credit scoring models: LOGIT vs Support Vector Machines | Jun 11, 2022 |
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