A New Generalized-<math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>X</mi> </math> Family for Analyzing the COVID-19 Data Set: a Case Study

Nowadays, researchers in applied sectors are highly motivated to propose and study new generalizations of the existing distributions provide best fit data. To a close data numerous sectors, series have been proposed. In this study, we family called generalized- X (for short, “NG- id="M3"> ”) distributions. Based on NG- id="M4"> method, novel modification Weibull model generalized-Weibull “NG-Weibull”) distribution is studied. The heavy-tailed characteristics id="M5"> derived. maximum likelihood estimators id="M6"> also obtained. special case (i.e., NG-Weibull) id="M7"> family, simulation provided. practical performance NG-Weibull assessed by analyzing COVID-19 set. fitting results compared with three other competing models. certain statistical measures, it observed that competitive model.