- Tytuł:
-
Regresja logistyczna dla danych symbolicznych interwałowych
Logistic regression for interval-valued symbolic data - Autorzy:
- Pełka, Marcin
- Powiązania:
- https://bibliotekanauki.pl/articles/424986.pdf
- Data publikacji:
- 2015
- Wydawca:
- Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
- Tematy:
-
logistic regression
interval-valued symbolic variables
symbolic data analysis - Opis:
- When dealing with real data situation we often have a binary (biomial, dichoto-mous) dependent variable. As the linear probability model is not such a good solution in such a situation there is a need to use nonlinear models. A quite good solution for such a sit-uation is the logistic regression model. The paper presents an adaptation of linear regression model when dealing with symbolic interval-valued variables. Four approaches poposed by de Souza et. al [2011] how to apply such variables are presented. In the empirical part re-sults obtained with the application of artificial and real data sets are shown. The best results are obtained for midpoint and bounds (joint estimation) methods.
- Źródło:
-
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 2 (48); 44-52
1507-3866 - Pojawia się w:
- Econometrics. Ekonometria. Advances in Applied Data Analytics
- Dostawca treści:
- Biblioteka Nauki
Artykuł