Likelihood-based inference for the multivariate skew-t regression with censored or missing responses
Skew-t regression models have been widely used to model and analyze asymmetric heavy-tailed data. Moreover, observations in this kind of data can be missing or subject to some upper and/or lower detection limits because of the restriction of the experimental apparatus. We propose a novel robust regr...
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Published in | Journal of multivariate analysis Vol. 196; p. 105174 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.07.2023
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Subjects | |
Online Access | Get full text |
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