Quantile-based Study of Interval Inaccuracy Measures

  • Seema Tehlan UIET, M. D. University Rohtak
  • Vikas Kumar UIET, M. D. University
  • Anjali Rathee UIET, M. D. University Rohtak
DOI: https://doi.org/10.19139/soic-2310-5070-2636
Keywords: Interval entropy, Interval inaccuracy measure, Quantile entropy, Quantile divergence measure, Characterization result.

Abstract

There are many models for which quantile function are available in tractable form, though their distribution functions are not available in explicit form. Recently researchers have great interest to study the quantile-based Interval entropy measures. In the present paper, we introduce quantile-based inaccuracy measure for doubly truncated random variable and study its properties. We also discuss some characterization results of this proposed measure. Further we propose and study the quantile version of Kullback -Leibler divergence measure for doubly truncated random variable. Finally, We discuss some results of proposed Kullback -Leibler divergence measure.
Published
2025-09-22
How to Cite
Tehlan, S., Kumar, V., & Rathee, A. (2025). Quantile-based Study of Interval Inaccuracy Measures. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-2636
Issue
Online First
Section
Research Articles
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