Linear mixed model based on mean mixture of multivariate normal distributions‎: ‎A flexible estimate based on missing value

Document Type : Original Scientific Paper

Authors

Department of Statistics‎, ‎Faculty of Mathematics‎, ‎University of Kashan‎, ‎Kashan‎, ‎Iran

Abstract

The purpose of this paper is to extend the linear mixed model for handling missing and {heavy-tailed} data‎. ‎In this model‎, ‎the random effects have multivariate mean mixture of normal distribution and errors arise from a multivariate normal distribution‎. ‎An expectation conditional maximization algorithm is developed for parameter estimation based on missing information‎. ‎The mechanism of missing data is missing-at-random‎. ‎Simulation studies and real data sets represent the efficiency and performance of the proposed model‎.

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