- Tytuł:
-
Hierarchical Log-linear Models for Contingency Tables
Hierarchiczne modele logarytmiczno-liniowe dla tablic kontyngencji - Autorzy:
- Brzezińska, Justyna
- Powiązania:
- https://bibliotekanauki.pl/articles/906850.pdf
- Data publikacji:
- 2012
- Wydawca:
- Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
- Tematy:
-
log-linear models
hierarchical log-linear models
AIC
BIC - Opis:
- Log-linear models are widely used for qualitative data in multidimensional contingency tables. Hierarchical log-linear models are models that include all lower-order terms composed from variables contained in a higher-order model term. The starting point is a saturated model, then homogenous associations, conditional independence and complete independence. There are several statistics that help to choose the best model. The first is the likelihood ratio approach, next is AIC and BIC information criteria. In R software there is loglm() function in MASS library and glm in stats library. The first approach is presented in this paper
- Źródło:
-
Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 269
0208-6018
2353-7663 - Pojawia się w:
- Acta Universitatis Lodziensis. Folia Oeconomica
- Dostawca treści:
- Biblioteka Nauki
Artykuł