On the estimation of extropy

نویسندگانJarrahiferiz Jalil
نشریهJournal of Nonparametric Statistics
شماره صفحات88-99
شماره سریال1
شماره مجلد31
ضریب تاثیر (IF)0.507
نوع مقالهFull Paper
تاریخ انتشار2019
رتبه نشریهISI
نوع نشریهچاپی
کشور محل چاپایران
نمایه نشریهJCR،Scopus

چکیده مقاله

Recently, Lad, Sanfilippo, and Agro [(2015), ‘Extropy: Complementary Dual of Entropy’, Statistical Science, 30, 40–58.] showed the measure of entropy has a complementary dual, which is termed extropy. The present article introduces some estimators of the extropy of a continuous random variable. Properties of the proposed estimators are stated, and comparisons are made with Qiu and Jia’s estimators [(2018a), ‘Extropy Estimators with Applications in Testing uniformity’, Journal of Nonparametric Statistics, 30, 182–196]. The results indicate that the proposed estimators have a smaller mean squared error than competing estimators. A real example is presented and analysed.

لینک ثابت مقاله

tags: Extropy; nonparametric kernel density estimation; local linear model; mean squared error; Monte Carlo simulation