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A Pragmatic Approach on Uncertainty Through Extropy as a Function of Extreme k-Records

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Abstract

The whole study has been centred on extropy treated as function of k-records to carry out analysis on uncertainty in the distribution of a random variable. The study presents some interesting properties of extropy while considering k-records instead of the parent random variable. The extropy orderings with respect to k-records arising from the random variables have been discussed in detail in this work. The study also proposes an estimator for extropy based on k-records and presents an analysis on the performance of the proposed estimator. The preference for k-records over parent random variable and classical record values has been discussed through some examples and an illustration based on a real-life data set as well.

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Data Availability

The data analysed in this study has been included from the published article of Thomas and Jose (2020)

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Acknowledgements

We would like to express our gratitude to the editors and the learned referees who have contributed to the development of this article. Their constructive comments and suggestions have been invaluable in improving the quality of this work.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Contributions

All authors contributed to the study conceptualization and design. Material preparation, conceptualization and analysis were performed by JJ. The design of the study and guidance on the overall research has been performed by EIAS. The first draft of the manuscript was written by JJ and both authors read as well as approved the final manuscript.

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Correspondence to Jitto Jose.

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The authors have no relevant financial or non-financial interests to disclose.

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Jose, J., Sathar, E.I.A. A Pragmatic Approach on Uncertainty Through Extropy as a Function of Extreme k-Records. Iran J Sci 47, 837–849 (2023). https://doi.org/10.1007/s40995-023-01476-w

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  • DOI: https://doi.org/10.1007/s40995-023-01476-w

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