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

被引:0
|
作者
Shrahili, Mansour [1 ]
机构
[1] King Saud Univ, Coll Sci, Dept Stat & Operat Res, POB 2455, Riyadh 11451, Saudi Arabia
来源
AIMS MATHEMATICS | 2024年 / 9卷 / 05期
关键词
information theory; k-record values; Renyi entropy; residual Renyi entropy; stochastic orders; RELIABILITY PROPERTIES; STOCHASTIC ORDERINGS; STATISTICAL EVIDENCE; SURVIVAL FUNCTIONS; ENTROPY PROPERTIES;
D O I
10.3934/math.2024649
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
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页码:13313 / 13335
页数:23
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