Multivariate normal mean-variance mixture distribution based on Lindley distribution

Mehrdad Naderi, Alireza Arabpour*, Ahad Jamalizadeh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This article introduces a new asymmetric distribution constructed by assuming the multivariate normal mean-variance mixture model. Called normal mean-variance mixture of the Lindley distribution, we derive some mathematical properties of the new distribution. Also, a feasible maximum likelihood estimation procedure using the EM algorithm and the asymptotic standard errors of parameter estimates are developed. The performance of the proposed distribution is illustrated by means of real datasets and simulation analysis.
Original languageEnglish
Pages (from-to)1179-1192
Number of pages13
JournalCommunications in Statistics - Simulation and Computation
Volume47
Issue number4
Early online date20 Jun 2017
DOIs
Publication statusPublished - 21 Apr 2018
Externally publishedYes

Keywords

  • ECM algorithm
  • Generalized hyperbolic distribution
  • Lindley distribution
  • Normal mean-variance mixture

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