QUANTILE-BASED GENERALIZED ENTROPY OF ORDER (alpha, beta) FOR ORDER STATISTICS

被引:0
|
作者
Kumar, Vikas [1 ]
Singh, Nirdesh [2 ]
机构
[1] Maharshi Dayanand Univ, UIET, Dept Appl Sci, Rohtak 124001, Haryana, India
[2] DCRUST Murthal, Dept Elect Engn, Sonipat 131039, India
来源
STATISTICA | 2018年 / 78卷 / 04期
关键词
Quantile function; Quantile entropy; Reliability measures; Series and parallel system;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In the present paper, we propose a quantile version of generalized entropy measure for order statistics for residual and past lifetimes and study their properties. Lower and upper bound of the proposed measures are derived. It is shown that the quantile-based generalized information between ith order statistics and parent random variable is distribution free. The uniform, exponential, generalized Pareto and finite range distributions, which are commonly used in the reliability modeling have been characterized in terms of the proposed entropy measure with extreme order statistics.
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页码:299 / 318
页数:20
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