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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
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139
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https://dbc.wroc.pl/publication/49043
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Ekonometria = Econometrics
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Ekonometria = Econometrics, 2012, Nr 1 (35)
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Ekonometria = Econometrics, 2012, Nr 2 (36)
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Ekonometria = Econometrics, 2012, Nr 3 (37)
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Ekonometria = Econometrics, 2012, Nr 4 (38)
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Ekonometria = Econometrics, 2013, Nr 1 (39)
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Ekonometria = Econometrics, 2013, Nr 2 (40)
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Ekonometria = Econometrics, 2013, Nr 3 (41)
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Ekonometria = Econometrics, 2013, Nr 4 (42)
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Ekonometria = Econometrics, 2014, Nr 1 (43)
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Ekonometria = Econometrics, 2014, Nr 2 (44)
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Ekonometria = Econometrics, 2014, Nr 3 (45)
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Ekonometria = Econometrics, 2014, Nr 4 (46)
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Ekonometria = Econometrics, 2015, Nr 1 (47)
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Ekonometria = Econometrics, 2015, Nr 2 (48)
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Ekonometria = Econometrics, 2015, Nr 3 (49)
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Ekonometria = Econometrics, 2015, Nr 4 (50)
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Ekonometria = Econometrics, 2016, Nr 1 (51)
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Ekonometria = Econometrics, 2016, Nr 2 (52)
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Ekonometria = Econometrics, 2016, Nr 3 (53)
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Ekonometria = Econometrics, 2016, Nr 4 (54)
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Ekonometria = Econometrics, 2017, Nr 1 (55)
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Ekonometria = Econometrics, 2017, Nr 2 (56)
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Ekonometria = Econometrics, 2017, Nr 3 (57)
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Ekonometria = Econometrics, 2017, Nr 4 (58)
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Econometrics = Ekonometria, 2018, Vol. 22, No. 1
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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
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Econometrics = Ekonometria, 2018, Vol. 22, No. 3
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Econometrics = Ekonometria, 2018, Vol. 22, No. 4
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Econometrics = Ekonometria, 2019, Vol. 23, No. 1
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Econometrics = Ekonometria, 2019, Vol. 23, No. 2
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Econometrics = Ekonometria, 2019, Vol. 23, No. 3
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Econometrics = Ekonometria, 2019, Vol. 23, No. 4
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Econometrics = Ekonometria, 2020, Vol. 24, No. 1
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Econometrics = Ekonometria, 2020, Vol. 24, No. 2
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Econometrics = Ekonometria, 2020, Vol. 24, No. 3
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Econometrics = Ekonometria, 2020, Vol. 24, No. 4
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Ekonometria = Econometrics, 2012, Nr 1 (35)
| Edition name | Date |
|---|---|
| Statistical analysis of economic poverty in Poland using R | Oct 2, 2019 |
