Flexible Modeling of Multivariate Skewed and Heavy-Tailed Data via a Non-Central Skew t Distribution with Application to Tumor Shape Data

Research output: Contribution to journal › Article

Original language	English
Journal	Journal of Statistical Theory and Practice
Volume	20
Issue number	3
State	Published - 2026

Cite this

@article{4a2433dad90d40099778b72bedd11258,

title = "Flexible Modeling of Multivariate Skewed and Heavy-Tailed Data via a Non-Central Skew t Distribution with Application to Tumor Shape Data",

author = "Abeer Hasan and Ying-ju Chen",

year = "2026",

language = "English",

volume = "20",

journal = "Journal of Statistical Theory and Practice",

number = "3",

}

TY - JOUR

T1 - Flexible Modeling of Multivariate Skewed and Heavy-Tailed Data via a Non-Central Skew t Distribution with Application to Tumor Shape Data

AU - Hasan, Abeer

AU - Chen, Ying-ju

PY - 2026

Y1 - 2026

UR - https://link.springer.com/article/10.1007/s42519-026-00592-1

M3 - Article

VL - 20

JO - Journal of Statistical Theory and Practice

JF - Journal of Statistical Theory and Practice

IS - 3

ER -