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- W1865161224 abstract "In this note we develop a new multivariate copula model based on epsilon–skew–normal marginal densities for the purpose of examining biomarker dependency structures. We illustrate the flexibility and utility of this model via a variety of graphical tools and a data analysis example pertaining to salivary biomarker. The multivariate normal model is a sub-model of the multivariate epsilon–skew–normal distribution." @default.
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- W1865161224 date "2015-05-26" @default.
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- W1865161224 title "Measures of biomarker dependence using a copula-based multivariate epsilon–skew–normal family of distributions" @default.
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- W1865161224 doi "https://doi.org/10.1080/02664763.2015.1049130" @default.
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