Ordered Variables and Their Concomitants under Extropy via COVID-19 Data Application

Extropy, as a complementary dual of entropy, has been discussed in many works literature, where it is declared for other measures an extension extropy. In this article, we obtain the extropy generalized order statistics via its and give some examples from well-known distributions. Furthermore, study residual past such models. On hand, based on Farlie–Gumbel–Morgenstern distribution, consider concomitants m-generalized present measure with additional features. addition, provide upper bound stochastic orders it. Finally, nonparametric estimation included using simulated real data connected COVID-19 virus.