Goodness of fit test using Lin-Wong divergence based on Type-I censored data

نویسندگانFatemeh Yousefzadeh,pakgoharA.,arezu habibi rad
نشریهCommunications in Statistics Part B: Simulation and Computation
شماره صفحات2485-2504
شماره سریال49
شماره مجلد9
ضریب تاثیر (IF)0.457
نوع مقالهFull Paper
تاریخ انتشار2020
رتبه نشریهISI
نوع نشریهچاپی
کشور محل چاپایران
نمایه نشریهJCR،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

لینک ثابت مقاله

tags: Anderson-Darling; Cramervon Mises; Exponentiality; kernel density; Kolmogorov- Smirnov; Kullback- Leibler; Normality