The Mean-shift Outlier Model under Skew Normal Distribution

DOI10.1080/03610918.2014.882947zbMath1383.62190OpenAlexW2320945280MaRDI QIDQ2816722

Clécio Da Silva Ferreira, Thalita do Mattos Bem

Publication date: 25 August 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.882947

zbMATH Keywords

outliersEM algorithmskew normal distributionsmean-shift

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Diagnostics, and linear inference and regression (62J20)

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Uses Software

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Cites Work

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• Skew scale mixtures of normal distributions: properties and estimation
• The mean-shift outlier model in general weighted regression and its applications.
• On statistical models for regression diagnostics
• Multiple outlier detection in growth curve model with unstructured covariance matrix
• A locking-free anisotropic nonconforming finite element for planar linear elasticity problem
• Outlier Detection Using Nonconvex Penalized Regression
• Comparing probabilistic methods for outlier detection in linear models
• Influence Diagnostics and Outlier Tests for Semiparametric Mixed Models
• The Skew-normal Distribution and Related Multivariate Families*

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