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On moments of truncated multivariate normal/independent distributions.

Authors :
Lin, Tsung-I
Wang, Wan-Lun
Source :
Journal of Multivariate Analysis. Jan2024, Vol. 199, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Multivariate normal/independent (MNI) distributions contain many renowned heavy-tailed distributions such as the multivariate t , multivariate slash, multivariate contaminated normal, multivariate variance-gamma, and multivariate double exponential distributions. A frequent problem encountered in statistical analysis is the occurrence of truncated observations and non-normality such that theoretical moments are required for the estimation of the truncated multivariate normal/independent (TMNI) distributions. This paper is dedicated to deriving explicit expressions for the moments of the TMNI distributions with supports confined within a hyper-rectangle. A Monte Carlo experiment is undertaken to validate to the correctness of the proposed formulae for five selected members of the TMNI distributions. R scripts and data to reproduce the results are available in the GitHub repository. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0047259X
Volume :
199
Database :
Academic Search Index
Journal :
Journal of Multivariate Analysis
Publication Type :
Academic Journal
Accession number :
174161634
Full Text :
https://doi.org/10.1016/j.jmva.2023.105248