Item Infomation


Title: 
Robust dissimilarity comparisons with categorical outcomes
Authors: 
Francesco, Andreoli
Claudio, Zoli
Issue Date: 
2022
Publisher: 
Springer
Abstract: 
The analysis of many phenomena requires partitioning societies into groups and studying the extent at which these groups are distributed with different intensities across relevant non-ordered categorical outcomes. When the groups are similarly distributed, their members have equal chances to achieve any of the attainable outcomes. Otherwise, a form of dissimilarity between groups distributions prevails. We characterize axiomatically the dissimilarity partial order of multi-group distributions defined over categorical outcomes.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s00355-022-01419-1
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7784
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