Title : Testing exponentiality based on Kullback-Leibler information with progressively Type-II censored data ( Testing exponentiality based on Kullback-Leibler information with progressively Type-II censored data )
Authors: N.Balakrishnan , Arezou Habibirad , Nasser Reza Arghami ,
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Abstract
Abstract—We express the joint entropy of progressively cen- sored order statistics in terms of an incomplete integral of the hazard function, and provide a simple estimate of the joint en- ropy of progressively Type-II censored data. We then construct a goodness-of-fit test statistic based on Kullback-Leibler informa- ion with progressively Type-II censored data. Finally, by using Monte Carlo simulations, the power of the test is estimated, and compared against several alternatives under different progressive censoring schemes. Index Terms—Entropy, hazard function, maximum entropy, Monte Carlo simulation, order statistics, progressively Type-II censored data.
Keywords
, Testing exponentiality based on Kullback, Leibler information with progressively Type, II censored data
@article{paperid:1004789,
author = {N.Balakrishnan and Habibirad, Arezou and Arghami, Nasser Reza},
title = {Testing exponentiality based on Kullback-Leibler information with progressively Type-II censored data},
journal = {IEEE Transactions on Reliability},
year = {2007},
volume = {56},
number = {2},
month = {March},
issn = {0018-9529},
pages = {301--307},
numpages = {6},
keywords = {Testing exponentiality based on Kullback-Leibler information with progressively Type-II censored data},
}
%0 Journal Article
%T Testing exponentiality based on Kullback-Leibler information with progressively Type-II censored data
%A N.Balakrishnan
%A Habibirad, Arezou
%A Arghami, Nasser Reza
%J IEEE Transactions on Reliability
%@ 0018-9529
%D 2007
