نویسندگان | Fatemeh Yousefzadeh,pakgoharA.,arezu habibi rad |
---|---|
نشریه | Communications in Statistics Part B: Simulation and Computation |
شماره صفحات | 2485-2504 |
شماره سریال | 49 |
شماره مجلد | 9 |
ضریب تاثیر (IF) | 0.457 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2020 |
رتبه نشریه | ISI |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | JCR،Scopus |
چکیده مقاله
Goodness of fit tests with two different methods are carried out in the present paper in order to recognize normal and exponential distributions within Type-I censored data. Here, we use the Lin-Wong divergence as our proposed measure of distance between distributions and compare its performance with that of other well known distance measures using an empirical distribution function and Shannon (1948), entropy concept. Furthermore, we present two real data analysis procedures using those proposed methods
tags: Anderson-Darling; Cramervon Mises; Exponentiality; kernel density; Kolmogorov- Smirnov; Kullback- Leibler; Normality