Heavy tails;
Outliers;
Robustness;
TMNI distributions;
Truncated moments;
MIXED-EFFECTS MODELS;
D O I:
10.1016/j.jmva.2023.105248
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
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.
机构:
Univ Tokyo, Grad Sch Interdisciplinary Informat Studies, Interfac Initiat Informat Studies, Tokyo, JapanUniv Tokyo, Grad Sch Interdisciplinary Informat Studies, Interfac Initiat Informat Studies, Tokyo, Japan
Ogawa, Mitsunori
Nakamoto, Kazuki
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机构:
Keio Univ, Fac Sci & Technol, Dept Math, Yokohama, Kanagawa, JapanUniv Tokyo, Grad Sch Interdisciplinary Informat Studies, Interfac Initiat Informat Studies, Tokyo, Japan
Nakamoto, Kazuki
Sei, Tomonari
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机构:
Univ Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo, JapanUniv Tokyo, Grad Sch Interdisciplinary Informat Studies, Interfac Initiat Informat Studies, Tokyo, Japan