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Robust Mixture Regression Based on the Mixture of Slash Distributions

The traditional estimation of Mixture regression models is based on the normal assumption of component errors and thus is sensitive to outliers and heavy-tailed errors. In this paper, we propose a robust Mixture regression models in which a mixture of slash distributions is assumed for the errors. U...

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Bibliografiset tiedot
Päätekijät: Hadi Saboori, Ghobad Barmalzan, Mahdi Doostparast
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Springer 2020-04-01
Sarja:Journal of Statistical Theory and Applications (JSTA)
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Linkit:https://www.atlantis-press.com/article/125938630/view
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