Some Characterization Results Based on the Mean Vitality Function of the First-Order Statistics

被引:0
|
作者
Toomaj, A. [1 ]
Shirvani, A. [2 ]
机构
[1] Gonbad Kavous Univ, Dept Math & Stat, Gonbad Kavous, Iran
[2] Velayat Univ, Fac Basic Sci & Engn, Dept Stat, Iranshahr, Iran
来源
关键词
MRL; MVF; Proportional hazard rate model; Weibull distribution; Mixed system; Stochastic orders; CUMULATIVE RESIDUAL ENTROPY;
D O I
10.2991/jsta.d.190514.004
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 this paper, we investigate some new properties of the mean vitality function (MVF) of a random variable, proposed by A. Toomaj, M. Doostparast, J. Stat. Theory Appl. 13 (2013), 189-195. Specifically, we explore properties of MVF and study under what conditions the MVF of the first-order statistics can uniquely determines the parent distribution. We show that in all distributions the Weibull family, which is commonly used in several fields of applied probability, is characterized through the ratio of the MVF of the first-order statistics to its expectation. (c) 2019 The Authors. Published by Atlantis Press SARL. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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页码:123 / 128
页数:6
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