ϕ-Divergence in Contingency Table Analysis
Institute of Statistics, RWTH Aachen University, 52062 Aachen, Germany
Entropy 2018, 20(5), 324; https://doi.org/10.3390/e20050324
Received: 6 April 2018
/
Revised: 19 April 2018
/
Accepted: 20 April 2018
/
Published: 27 April 2018
(This article belongs to the Special Issue New Developments in Statistical Information Theory Based on Entropy and Divergence Measures)
The -divergence association models for two-way contingency tables is a family of models that includes the association and correlation models as special cases. We present this family of models, discussing its features and demonstrating the role of -divergence in building this family. The most parsimonious member of this family, the model of -scaled uniform local association, is considered in detail. It is implemented and representative examples are commented on.
View Full-Text
Keywords:
log-linear models; ordinal classification variables; association models; correlation models
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Kateri, M. ϕ-Divergence in Contingency Table Analysis. Entropy 2018, 20, 324. https://doi.org/10.3390/e20050324
AMA Style
Kateri M. ϕ-Divergence in Contingency Table Analysis. Entropy. 2018; 20(5):324. https://doi.org/10.3390/e20050324
Chicago/Turabian StyleKateri, Maria. 2018. "ϕ-Divergence in Contingency Table Analysis" Entropy 20, no. 5: 324. https://doi.org/10.3390/e20050324
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
