Measures of biomarker dependence using a copula-based multivariate epsilon–skew–normal family of distributions

DOI10.1080/02664763.2015.1049130OpenAlexW1865161224WikidataQ38599317 ScholiaQ38599317MaRDI QIDQ5130383

Gregory E. Wilding, Terry L. Jun. Mashtare, Albert Vexler, Alan D. Hutson

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1049130

zbMATH Keywords

conditional expectationassociationconditional dependenceconditional correlation

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• sn

Cites Work

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• The epsilon-skew-normal distribution for analyzing near-normal data
• A Skew Extension of the T-Distribution, with Applications
• A linear model-based test for the heterogeneity of conditional correlations
• The Skew-normal Distribution and Related Multivariate Families*
• Estimating the Correlation in Bivariate Normal Data With Known Variances and Small Sample Sizes
• A general class of multivariate skew-elliptical distributions

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