Measure of asymmetric association for ordinal contingency tables via the bilinear extension copula
Zheng Wei and
Daeyoung Kim
Statistics & Probability Letters, 2021, vol. 178, issue C
Abstract:
This paper proposes a new correlation ratio based on the bilinear extension copula regression to describe asymmetric association for ordinal contingency tables. Theoretical and finite sample properties of the proposed measure and its estimator are studied.
Keywords: Asymmetric association; Bilinear extension copula; Ordinal variable (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715221001450
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:178:y:2021:i:c:s0167715221001450
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2021.109183
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().