Far East Journal of Theoretical Statistics

The Far East Journal of Theoretical Statistics publishes original research papers and survey articles in the field of theoretical statistics, covering topics such as Bayesian analysis, multivariate analysis, and stochastic processes.

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STUDY OF EXTROPY-BASED INACCURACY MEASURE FOR ORDER AND $k$-RECORD STATISTICS

Authors

  • Salook Sharma
  • Vikas Kumar
  • Ritu Goel

Keywords:

Kerridge inaccuracy measure, extropy measure, measure of divergence, order statistics, record values

DOI:

https://doi.org/10.17654/0972086325022

Abstract

Recently, Gupta and Chaudhary [9] studied some characterization results of extropy-based inaccuracy measures for record statistics. In the present communication, we study an extropy based “inaccuracy measure” between the distributions of mth upper k-record value and nth upper k-record value. The characterization problems for the proposed inaccuracy-extropy measure have been studied. Furthermore, the inaccuracy-extropy measure has been examined for some particular lifespan distributions. Finally, we examine the proposed inaccuracy-extropy measure between the order statistics and k-record value distributions.

Received: August 27, 2025
Revised: November 18, 2025
Accepted: November 27, 2025

References

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Published

2025-12-15

Issue

Section

Articles

How to Cite

STUDY OF EXTROPY-BASED INACCURACY MEASURE FOR ORDER AND $k$-RECORD STATISTICS. (2025). Far East Journal of Theoretical Statistics , 69(3), 475-497. https://doi.org/10.17654/0972086325022

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