Moments of doubly truncated multivariate normal mean-mixture distributions

Recently, considerable interest has been in deriving explicit expressions for moment of different truncated multivariate distributions. This is due to their usefulness in developing efficient EM-algorithm for the maximum likelihood estimation of the corresponding distributional parameters. One rich family of distributions is the multivariate normal mean-mixture distribution as it includes a number of important multivariate distributions as special cases. In this article, we derive exact expressions for the first two moments of doubly truncated multivariate normal mean-mixture distributions, from which results for various special cases are then deduced.

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Publication Details

Journal
Communication in Statistics- Theory and Methods
Published
2024-09-27
DOI
https://doi.org/10.1080/03610926.2024.2395892
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Moments of doubly truncated multivariate normal mean-mixture distributions

Anthony F. Desmond, Ahad Jamalizadeh, Roohollah Roozegar, Narayanaswamy Balakrishnan
Communication in Statistics- Theory and Methods
Statistical Distribution Estimation and Applications
article

Moments of doubly truncated multivariate normal mean-mixture distributions

Anthony F. Desmond, Ahad Jamalizadeh, Roohollah Roozegar, Narayanaswamy Balakrishnan
article en

Abstract

Recently, considerable interest has been in deriving explicit expressions for moment of different truncated multivariate distributions. This is due to their usefulness in developing efficient EM-algorithm for the maximum likelihood estimation of the corresponding distributional parameters. One rich family of distributions is the multivariate normal mean-mixture distribution as it includes a number of important multivariate distributions as special cases. In this article, we derive exact expressions for the first two moments of doubly truncated multivariate normal mean-mixture distributions, from which results for various special cases are then deduced.

Communication in Statistics- Theory and MethodsVol. 54(12)
Shahid Bahonar University of Kerman (IR), Yasouj University (IR), University of Guelph (CA), McMaster University (CA)
Openalex Percentile: Top 83%
Statistical Distribution Estimation and Applications
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Moments of doubly truncated multivariate normal mean-mixture distributions — Anthony F. Desmond, Ahad Jamalizadeh, et al. · Communication in Statistics- Theory and Methods (2024) | TGRS Research Map | TGRS