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 i...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.展开更多
文摘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.
