Research Article

On quantile-based dynamic survival extropy and its applications

Volume: 52 Number: 5 October 31, 2023
EN

On quantile-based dynamic survival extropy and its applications

Abstract

The cumulative residual extropy is an uncertainty measure that parallels extropy in an absolutely continuous cumulative distribution function. The dynamic version of this measure is known as dynamic survival extropy. In this paper, we study some properties of the dynamic survival extropy using quantile function approach. Unlike the dynamic survival extropy, the quantile-based dynamic survival extropy determines the quantile density function uniquely through a simple relationship. We also extend the definition of quantile-based dynamic survival extropy into order statistics. Finally, an application of new quantile-based uncertainty measure as a risk measure is derived.

Keywords

References

  1. [1] S. Baratpour and A.H. Khammar, A quantile-based generalized dynamic cumulative measure of entropy, Commun. Stat. Theory Methods 47, 3104-3117, 2017.
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  3. [3] W. Gilchrist, Statistical Modelling with Quantile Functions, Boca Raton, FL: Chapman and Hall/CRC, 2000.
  4. [4] T. Gneiting and A.E. Raftery, Strictly proper scoring rules, prediction, and estimation, J Am Stat Assoc 102, 359-378, 2007.
  5. [5] S.M.A. Jahanshahi, H. Zarei and A.H. Khammar, On cumulative residual extropy, Probab Eng Inf Sci 34 (4), 605-625, 2020.
  6. [6] J. Jose and E.I.A. Sathar, Extropy for past life Based on classical records, J. Indian Soc. Probab. Stat. 22, 27-46, 2021.
  7. [7] J. Jose and E.I.A. Sathar, Residual extropy of k-record values, Stat Probab Lett 146, 1-6, 2019.
  8. [8] A.H. Khammar and S.M.A. Jahanshahi, Quantile based Tsallis entropy in residual lifetime, Physica A 492, 994-1006, 2018.

Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Early Pub Date

October 19, 2023

Publication Date

October 31, 2023

Submission Date

November 15, 2020

Acceptance Date

March 3, 2023

Published in Issue

Year 2023 Volume: 52 Number: 5

APA
Khammar, A. H., Amir Jahanshahi, S. M., & Zarei, H. (2023). On quantile-based dynamic survival extropy and its applications. Hacettepe Journal of Mathematics and Statistics, 52(5), 1349-1366. https://doi.org/10.15672/hujms.823331
AMA
1.Khammar AH, Amir Jahanshahi SM, Zarei H. On quantile-based dynamic survival extropy and its applications. Hacettepe Journal of Mathematics and Statistics. 2023;52(5):1349-1366. doi:10.15672/hujms.823331
Chicago
Khammar, Amir Hamzeh, Seyyed Mahdi Amir Jahanshahi, and Hassan Zarei. 2023. “On Quantile-Based Dynamic Survival Extropy and Its Applications”. Hacettepe Journal of Mathematics and Statistics 52 (5): 1349-66. https://doi.org/10.15672/hujms.823331.
EndNote
Khammar AH, Amir Jahanshahi SM, Zarei H (October 1, 2023) On quantile-based dynamic survival extropy and its applications. Hacettepe Journal of Mathematics and Statistics 52 5 1349–1366.
IEEE
[1]A. H. Khammar, S. M. Amir Jahanshahi, and H. Zarei, “On quantile-based dynamic survival extropy and its applications”, Hacettepe Journal of Mathematics and Statistics, vol. 52, no. 5, pp. 1349–1366, Oct. 2023, doi: 10.15672/hujms.823331.
ISNAD
Khammar, Amir Hamzeh - Amir Jahanshahi, Seyyed Mahdi - Zarei, Hassan. “On Quantile-Based Dynamic Survival Extropy and Its Applications”. Hacettepe Journal of Mathematics and Statistics 52/5 (October 1, 2023): 1349-1366. https://doi.org/10.15672/hujms.823331.
JAMA
1.Khammar AH, Amir Jahanshahi SM, Zarei H. On quantile-based dynamic survival extropy and its applications. Hacettepe Journal of Mathematics and Statistics. 2023;52:1349–1366.
MLA
Khammar, Amir Hamzeh, et al. “On Quantile-Based Dynamic Survival Extropy and Its Applications”. Hacettepe Journal of Mathematics and Statistics, vol. 52, no. 5, Oct. 2023, pp. 1349-66, doi:10.15672/hujms.823331.
Vancouver
1.Amir Hamzeh Khammar, Seyyed Mahdi Amir Jahanshahi, Hassan Zarei. On quantile-based dynamic survival extropy and its applications. Hacettepe Journal of Mathematics and Statistics. 2023 Oct. 1;52(5):1349-66. doi:10.15672/hujms.823331

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