Object
No title
Resource Identifier:
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:
Oct 2, 2019
In our library since:
May 18, 2018
Number of object content hits:
140
All available object's versions:
https://www.dbc.wroc.pl/publication/49049
Show description in RDF format:
Show description in OAI-PMH format:
-
Ekonometria = Econometrics
-
Ekonometria = Econometrics, 2012, Nr 1 (35)
-
Ekonometria = Econometrics, 2012, Nr 2 (36)
-
Ekonometria = Econometrics, 2012, Nr 3 (37)
-
Ekonometria = Econometrics, 2012, Nr 4 (38)
-
Ekonometria = Econometrics, 2013, Nr 1 (39)
-
Ekonometria = Econometrics, 2013, Nr 2 (40)
-
Ekonometria = Econometrics, 2013, Nr 3 (41)
-
Ekonometria = Econometrics, 2013, Nr 4 (42)
-
Ekonometria = Econometrics, 2014, Nr 1 (43)
-
Ekonometria = Econometrics, 2014, Nr 2 (44)
-
Ekonometria = Econometrics, 2014, Nr 3 (45)
-
Ekonometria = Econometrics, 2014, Nr 4 (46)
-
Ekonometria = Econometrics, 2015, Nr 1 (47)
-
Ekonometria = Econometrics, 2015, Nr 2 (48)
-
Ekonometria = Econometrics, 2015, Nr 3 (49)
-
Ekonometria = Econometrics, 2015, Nr 4 (50)
-
Ekonometria = Econometrics, 2016, Nr 1 (51)
-
Ekonometria = Econometrics, 2016, Nr 2 (52)
-
Ekonometria = Econometrics, 2016, Nr 3 (53)
-
Ekonometria = Econometrics, 2016, Nr 4 (54)
-
Ekonometria = Econometrics, 2017, Nr 1 (55)
-
Ekonometria = Econometrics, 2017, Nr 2 (56)
-
Ekonometria = Econometrics, 2017, Nr 3 (57)
-
Ekonometria = Econometrics, 2017, Nr 4 (58)
-
Econometrics = Ekonometria, 2018, Vol. 22, No. 1
-
Econometrics = Ekonometria, 2018, Vol. 22, No. 2
- Spis treści [Econometrics = Ekonometria, 2018, Vol. 22, No.2]
- Visualization of categorical data using extracat package in R
- Evaluation of the effecti-veness of actions for the benefit of persons in the non-mobile age in the European Union countries
- Selected econometric methods of modelling the world’s population
- Statistical analysis of economic poverty in Poland using R
- Predicting the default risk of companies. Comparison of credit scoring models: LOGIT vs Support Vector Machines
- Clustering macroeconomic time series
-
Econometrics = Ekonometria, 2018, Vol. 22, No. 3
-
Econometrics = Ekonometria, 2018, Vol. 22, No. 4
-
Econometrics = Ekonometria, 2019, Vol. 23, No. 1
-
Econometrics = Ekonometria, 2019, Vol. 23, No. 2
-
Econometrics = Ekonometria, 2019, Vol. 23, No. 3
-
Econometrics = Ekonometria, 2019, Vol. 23, No. 4
-
Econometrics = Ekonometria, 2020, Vol. 24, No. 1
-
Ekonometria = Econometrics, 2012, Nr 1 (35)
| Edition name | Date |
|---|---|
| Predicting the default risk of companies. Comparison of credit scoring models: LOGIT vs Support Vector Machines | Oct 2, 2019 |
