| نویسندگان | Jarrahiferiz Jalil |
| نشریه | Journal of Nonparametric Statistics |
| شماره صفحات | 88-99 |
| شماره سریال | 1 |
| شماره مجلد | 31 |
| ضریب تاثیر (IF) | 0.507 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2019 |
| رتبه نشریه | ISI |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| نمایه نشریه | JCR،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