| Authors | Jarrahiferiz Jalil |
|---|---|
| Journal | Journal of Nonparametric Statistics |
| Page number | 88-99 |
| Serial number | 1 |
| Volume number | 31 |
| IF | 0.507 |
| Paper Type | Full Paper |
| Published At | 2019 |
| Journal Grade | ISI |
| Journal Type | Typographic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | JCR،Scopus |
Abstract
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.