Quantile-Based Extropy Measure for Record Statistics

Compared to their distribution function-based extropy measure (Lad et al. 2015), the quantile-based extropy measures have a few special characteristics (Krishnan et al. 2020). The present communication deals with the study of the quantile-based extropy measure for record statistics. In this context, a generalized model for which there is no cdf or pdf is examined, and several examples are provided for illustration purposes. Additionally, we examine the dynamic version of the suggested extropy measure for record statistics and provide characterization results for that. Finally, we investigate the suggested extropy measure in the F^{Y} family of distributions.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2026-01-13
DOI
https://doi.org/10.19139/soic-2310-5070-2733
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantile-Based Extropy Measure for Record Statistics

Salook Sharma, Vikas Kumar
Statistics Optimization & Information Computing
Statistical Distribution Estimation and Applications
article

Quantile-Based Extropy Measure for Record Statistics

Salook Sharma, Vikas Kumar
article en

Abstract

Compared to their distribution function-based extropy measure (Lad et al. 2015), the quantile-based extropy measures have a few special characteristics (Krishnan et al. 2020). The present communication deals with the study of the quantile-based extropy measure for record statistics. In this context, a generalized model for which there is no cdf or pdf is examined, and several examples are provided for illustration purposes. Additionally, we examine the dynamic version of the suggested extropy measure for record statistics and provide characterization results for that. Finally, we investigate the suggested extropy measure in the F^{Y} family of distributions.

Statistics Optimization & Information ComputingVol. 15(4)
Maharshi Dayanand University (IN)
Human Resource Development Group, Division of Human Resource Development
Openalex Percentile: Top 89%
Statistical Distribution Estimation and Applications
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