The Marshall–Olkin–Weibull-H family: Estimation, simulations, and applications to COVID-19 data

Abstract

We define a new extended Weibull-H family and obtain some of its mathematical properties. It is very competitive to the beta-G and Kumaraswamy-G classes, which are highly cited in Google Scholar. The parameters of a specified sub-model are estimated by eight methods and its flexibility is proved in two applications to COVID-19 data.

Keywords

• COVID-19 data
• Generalized distribution
• Maximum likelihood estimation
• Weibull distribution