Title : ( Testing Normality Based on Kullback-Leibler Information With Progressively Type-II Censored Data )
Authors: Arezou Habibirad ,
Full TextAbstract
We will use the joint entropy of progressively censored order statistics in terms of an incomplete integral of the hazard function, and provide a simple estimate of the joint entropy of progressively Type-II censored data, has been introduced by Balakrishnan et al. (2007). Then We construct a goodness-of-fit test statistic based on Kullback-Leibler information for normal distribution. Finally, by using Monte Carlo simulations, the power of the test is estimated and compared against several alternatives under different progressive censoring schemes.
Keywords
, Hazard function; Monte Carlo simulation; Order statistics; Progressively Type, II censored data; Test of normality.
@inproceedings{paperid:1006825,
author = {Habibirad, Arezou},
title = {Testing Normality Based on Kullback-Leibler Information With Progressively Type-II Censored Data},
booktitle = {The 9th Islamic Countries Conference On Statistical Sciences},
year = {2007},
location = {کوآلا لامپور},
keywords = {Hazard function; Monte Carlo simulation; Order
statistics; Progressively Type-II censored data; Test of normality.},
}
%0 Conference Proceedings
%T Testing Normality Based on Kullback-Leibler Information With Progressively Type-II Censored Data
%A Habibirad, Arezou
%J The 9th Islamic Countries Conference On Statistical Sciences
%D 2007
