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Research Article | Open Access

Some new results involving residual Renyi's information measure for k-record values

Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
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Abstract

This article dealt with further properties of the Renyi entropy and the residual Renyi entropy of k-record values. First, we discussed the Renyi entropy order and its connection with the usual stochastic and dispersive orders. We then addressed the monotonicity properties of the residual Renyi entropy of k-records, focusing on the aging properties of the component lifetimes. We also expressed the residual nth upper k-records in terms of Renyi entropy when the first dataset exceeded a certain threshold, and then studied various properties of the given formula. Finally, we conducted a parametric estimation of the Renyi entropy of the nth upper k-records. The estimation was performed using both real COVID-19 data and simulated data.

CLC number: 94A08, 62P99

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AIMS Mathematics
Pages 13313-13335

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Cite this article:
Shrahili M. Some new results involving residual Renyi's information measure for k-record values. AIMS Mathematics, 2024, 9(5): 13313-13335. https://doi.org/10.3934/math.2024649

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Received: 26 February 2024
Revised: 22 March 2024
Accepted: 27 March 2024
Published: 15 May 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)