A few generalizations of Kendall’s tau. Part II: Intrinsic meaning, properties, and computational aspects

Continuing our investigation on generalizations of Kendall’s τ, started in Part I of the paper, here we elaborate on the intrinsic meaning and degree of such polynomial-type concordance measures, as well as present many examples of their computation. In particular, we interpret generalized Kendall’s τφ as the difference between the average capacities of concordance and discordance, and, for power-type distortion functions φ, we obtain polynomial-type concordance measures of various degree, which could stimulate further research of their characterization as achieved for degree-one polynomial-type concordance measures by Taylor, Edwards, and Mikusiński.

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Publication Details

Journal
Nonlinear Analysis Modelling and Control
Published
2025-02-26
DOI
https://doi.org/10.15388/namc.2025.30.38964
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
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article

A few generalizations of Kendall’s tau. Part II: Intrinsic meaning, properties, and computational aspects

Martynas Manstavičius
Nonlinear Analysis Modelling and Control
Advanced Statistical Methods and Models
article

A few generalizations of Kendall’s tau. Part II: Intrinsic meaning, properties, and computational aspects

Martynas Manstavičius
article en

Abstract

Continuing our investigation on generalizations of Kendall’s τ, started in Part I of the paper, here we elaborate on the intrinsic meaning and degree of such polynomial-type concordance measures, as well as present many examples of their computation. In particular, we interpret generalized Kendall’s τφ as the difference between the average capacities of concordance and discordance, and, for power-type distortion functions φ, we obtain polynomial-type concordance measures of various degree, which could stimulate further research of their characterization as achieved for degree-one polynomial-type concordance measures by Taylor, Edwards, and Mikusiński.

Nonlinear Analysis Modelling and ControlVol. 30(2)
Vilnius University (LT)
Openalex Percentile: Top 96%
Advanced Statistical Methods and Models
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