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

作　　者：M.M.E.Abd El-Monsef 

机构地区：[1]Faculty of Science,Tanta University Al-Geish Street,Tanta,Gharbia,Egypt

出　　处：《International Journal of Biomathematics》2021年第3期203-220,共18页生物数学学报（英文版）

摘　　要：In this paper,a finite mixture of m-Brlang distributions is proposed.Different moments,shape characteristics and parameter estimates of the proposed model are also provided.The proposed mixture has the property that it has a bounded hazard function.A special case of the mixed Erlang distribution is introduced and discussed.In 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 technique.Two more real datasets are used to examine the flexibility of the proposed model.

关 键 词：Erlang distribution mixture distribution goodness-of-fit test COVID-19 

分 类 号：O17[理学—数学]