Title : ( Using Approximate MLE for Testing Normality Based on Kullback-Leibler Information with Progressively Type-II Censored Data )
Authors: Arezou Habibirad , Fatemeh Yousefzadeh ,
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 by using approximate MLE. Finally, we used Monte Carlo simulations, the power of the test is estimated and compared against several alternatives under different progressive censoring schemes.
Keywords
, Approximate Maximum Likelihood Estimate; Entropy; Goodness, of, fit test; Hazard function; Monte Carlo simulation; Progressively Type, II censored data.
@inproceedings{paperid:1017369,
author = {Habibirad, Arezou and Fatemeh Yousefzadeh},
title = {Using Approximate MLE for Testing Normality Based on Kullback-Leibler Information with Progressively Type-II Censored Data},
booktitle = {دهمین کنفرانس آمار ایران},
year = {2010},
location = {تبریز, IRAN},
keywords = {Approximate Maximum Likelihood Estimate; Entropy; Goodness-of-fit test; Hazard function; Monte Carlo simulation; Progressively Type-II censored data.},
}
%0 Conference Proceedings
%T Using Approximate MLE for Testing Normality Based on Kullback-Leibler Information with Progressively Type-II Censored Data
%A Habibirad, Arezou
%A Fatemeh Yousefzadeh
%J دهمین کنفرانس آمار ایران
%D 2010
