Forthcoming

Fractional-Order Generalized Inaccuracy Measures Based on Copula and Associated Properties and Applications

Accepted April 2026

Authors

Keywords:

inaccuracy measure, copula, Jeffreys’ inaccuracy, semiparametric estimation, mean squared error, model selection

Abstract

In this work, we propose some inaccuracy measures based on fractional-order generalized survival and distributional copula functions. Several associated properties, including bounds of the inaccuracy measures, are obtained. Jeffreys’ inaccuracy measures, using the survival and distribution copula functions-based inaccuracy measures, are also introduced and are studied. Moreover, estimation of the proposed measures using a semiparametric technique is discussed further. Finally, a trivariate real dataset relating to the “Pima Indian Diabetes” is considered, and a model selection is made on it through the proposed inaccuracy measure for the purpose of illustration.

Author Biography

  • Suchandan Kayal, National Institute of Technology Rourkela

    Associate Professor, Department of Mathematics, NIT Rourkela, India

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Published

2026-04-22

Issue

new article

Section

Forthcoming Paper

License

Copyright (c) 2026 REVSTAT-Statistical Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Saha, S., Kayal, S., & Balakrishnan, N. (2026). Fractional-Order Generalized Inaccuracy Measures Based on Copula and Associated Properties and Applications: Accepted April 2026. REVSTAT-Statistical Journal. https://revstat.ine.pt/index.php/REVSTAT/article/view/1058