Multivariate R\'enyi inaccuracy measures based on copulas: properties and application
Abstract
We propose R\'enyi inaccuracy measure based on multivariate copula and multivariate survival copula, respectively dubbed as multivariate cumulative copula R\'enyi inaccuracy measure and multivariate survival copula R\'enyi inaccuracy measure. Bounds of multivariate cumulative copula R\'enyi inaccuracy and multivariate survival copula R\'enyi inaccuracy measures have been obtained using Fr\'echet-Hoeffding bound. We discuss the comparison studies of the multivariate cumulative copula R\'enyi inaccuracy and multivariate survival copula R\'enyi inaccuracy measures based on lower orthant and upper orthant orders. We have also proposed multivariate co-copula R\'enyi inaccuracy and multivariate dual copula R\'enyi inaccuracy measures based on multivariate co-copula and dual copula. Similar properties have been explored. Further, we propose semiparametric estimator of multivariate cumulative copula R\'enyi inaccuracy measure. A simulation study is performed to compute standard deviation, absolute bias and mean squared error of the proposed estimator. Finally, a data set is considered to show that the multivariate cumulative copula R\'enyi inaccuracy measure can be applied as a model (copula) selection criteria.
Cite
@article{arxiv.2502.17215,
title = {Multivariate R\'enyi inaccuracy measures based on copulas: properties and application},
author = {Shital Saha and Suchandan Kayal},
journal= {arXiv preprint arXiv:2502.17215},
year = {2025}
}