Erlang mixture distribution with application on COVID-19 cases in Egypt

作     者：M.M.E.Abd El-Monsef 

作者机构：Faculty of ScienceTanta University Al-Geish StreetTantaGharbiaEgypt 

出 版 物：《International Journal of Biomathematics》 (生物数学学报（英文版）)

年 卷 期：2021年第14卷第3期

页      面：203-220页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Erlang distribution mixture distribution goodness-of-fit test COVID-19 

摘      要：In this paper,a finite mixture of m-Brlang distributions is *** moments,shape characteristics and parameter estimates of the proposed model are also *** proposed mixture has the property that it has a bounded hazard function.A special case of the mixed Erlang distribution is introduced and *** addition,a pre­dictive technique is introduced to estimate the needed number of mixture components to fit a certain data.A real data concerning the confirmed COVID-19 cases in Egypt is introduced to utilize the predictive estimation *** more real datasets are used to examine the flexibility of the proposed model.