دربارۀ مدل‌بندی آمیختۀ متناهی از طریق توزیع برنبام-ساندرز با میانگین و واریانس نرمال

‎ ‎This paper presents a new finite mixture model using the normal mean-variance‎ ‎mixture of Birnbaum-Saunders distribution‎. ‎The proposed model is multimodal with wider‎ ‎ranges of skewness and kurtosis‎. ‎Moreover‎, ‎it is useful for modeling highly asymmetric data in various theoretical and applied statistical problems‎. ‎The maximum likelihood‎ ‎estimates of the parameters of the model are computed iteratively by feasible‎ ‎EM algorithm‎. ‎To illustrate the finite sample properties and performance of the‎ ‎estimators‎, ‎we conduct a simulation study and illustrate the usefulness of the new model by analyzing a real dataset‎.