摘要：AbstractWe 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.
关键词：KeywordsCOVID-19 dataGeneralized distributionMaximum likelihood estimationWeibull distribution
