Characterizations based on measure of inaccuracy for truncated random variables

被引：16
|
作者：
Kundu, Chanchal [1 ]
Nanda, Asok K. [2 ]
机构：
[1] Rajiv Gandhi Inst Petr Technol, Dept Math, Rae Bareli 229316, UP, India
[2] IISER Kolkata, Dept Math & Stat, Mohanpur 741252, India
来源：
STATISTICAL PAPERS | 2015年 / 56卷 / 03期
关键词：
Entropy; Inaccuracy measure; Proportional (reversed) hazard model; FAILURE-RATE FUNCTIONS; CONDITIONAL EXPECTATIONS; RESIDUAL LIFE; ENTROPY; MODELS;
D O I：
10.1007/s00362-014-0600-z
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 recent years, different authors have shown interest to study Kerridge inaccuracy measure for truncated distributions. In the present communication, we provide characterizations of quite a few continuous and discrete distributions based on past inaccuracy measure. We introduce the concept of interval inaccuracy measure for two-sided truncated random variables. This measure may help the information theorists and reliability analysts to study the various characteristics of a system/component when it fails between two time points. Various aspects of interval inaccuracy measure have been discussed and some characterization results have been provided.
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页码：619 / 637
页数：19
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