The Entropy of Progressively Censored Samples

被引:33
作者
Abo-Eleneen, Z. A. [1 ,2 ]
机构
[1] Zagazig Univ, Fac Comp & Informat, Zagazig 44519, Egypt
[2] Qassim Univ, Fac Sci, Dept Math, Buraydah 51431, Al Qassim, Saudi Arabia
关键词
entropy; progressive censoring; order statistics; recurrence relations; Markov chain; KULLBACK-LEIBLER INFORMATION; ORDER-STATISTICS;
D O I
10.3390/e13020437
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In many life-testing and reliability studies, the experimenter might not always obtain complete information on failure times for all experimental units. Among the different censoring schemes, the progressive censoring scheme has received a considerable attention in the last few years. The aim of this paper is simplifying the entropy of progressively Type II censored samples. We propose an indirect approach using a decomposition of the entropy in progressively Type II censored samples to simplify the calculation. Some recurrence relations for the entropy in progressively Type II censored samples are derived to facilitate this calculation. An efficient computational method is derived that simplifies computation of the entropy in progressively Type II censored samples to a sum; entropy in collections order statistics. We compute the entropy in a collection of progressively Type II censored samples for some known distributions.
引用
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页码:437 / 449
页数:13
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