TY - JOUR JF - srtc-jsri JO - JSRI VL - 13 IS - 2 PY - 2017 Y1 - 2017/3/01 TI - Mixture of Normal Mean-Variance of Lindley Distributions TT - آمیزه‌ای از نرمال میانگین-واریانس توزیع‌های لیندلی N2 - ‎Abstract: In this paper, a new mixture modelling using the normal mean-variance mixture of Lindley (NMVL) distribution has been considered. The proposed model is heavy-tailed and multimodal and can be used in dealing with asymmetric data in various theoretic and applied problems. We present a feasible computationally analytical EM algorithm for computing the maximum likelihood estimates. The behavior of the obtained maximum likelihood estimators is studied with respect to bias and mean squared errors through conducting a simulation study. Two examples with flow cytometry data are used to illustrate the applicability of the proposed model. SP - 197 EP - 214 AU - Naderi, Mehrdad AU - Arabpour, Alireza AU - Jamalizadeh, Ahad AD - KW - Finite mixture model KW - Mean-variance mixture distribution KW - Lindley distribution KW - EM algorithm. UR - http://jsri.srtc.ac.ir/article-1-240-en.html DO - 10.18869/acadpub.jsri.13.2.197 ER -