@ARTICLE{Habibirad, author = {Omidi‎, Fatemeh and Habibirad, Arezou and Fakoor‎, Vahid and }, title = {Goodness of Fit Tests based on Information Criterion for Randomly Censored Data}, volume = {16}, number = {2}, abstract ={‎We propose two goodness of fit test statistics based on‎ Cumulative Kullback--Leibler (CKL) information and Cumulative residual Kullback--Leibler (CRKL) information for exponential distributions with unknown parameter and randomly censored data‎. ‎Koziol and Green introduced the Cramér-von Mises statistic with randomly censored data for a simple hypothesis based on the Kaplan--Meier product limit of the distribution function‎. ‎We use their idea to obtain test statistics based on CKL and CRKL for a randomly censored exponential distribution with estimated parameters‎. ‎The power of the proposed tests for testing exponentiality is compared with the test statistic based on the empirical distribution function using the opinion of Koziol and Green‎. ‎A simulation study is performed under a special censorship model introduced by Koziol and Green‎. ‎Simulation studies show a relatively high power of proposed test statistics in many alternatives‎. }, URL = {http://jsri.srtc.ac.ir/article-1-388-en.html}, eprint = {http://jsri.srtc.ac.ir/article-1-388-en.pdf}, journal = {Journal of Statistical Research of Iran}, doi = {10.52547/jsri.16.2.507}, year = {2020} }