Optimal classifier for multivariate rectangle-screened normal data classification

DOI10.1016/j.jkss.2015.01.004zbMath1327.62377OpenAlexW1995876041MaRDI QIDQ892876

Hyoung-Moon Kim, Hea-Jung Kim, Young Joo Yoon

Publication date: 12 November 2015

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2015.01.004

zbMATH Keywords

ECM algorithmapproximate linear classifiermultidimensional screened classificationrectangle-screened multivariate normal distributiontotal probability of misclassification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Probability distributions: general theory (60E05)

Uses Software

• SPSS
• GSLIB
• PRMLT

Cites Work

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• Classification of a screened data into one of two normal populations perturbed by a screening scheme
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• Robust classification for skewed data
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Discriminant Functions When Covariance Matrices are Unequal
• The Performance of Fisher's Linear Discriminant Function under Non-Optimal Conditions
• Statistical Applications of the Multivariate Skew Normal Distribution
• Robustness of the linear and quadratic discriminant function to certain types of non‐normality
• A unified view on skewed distributions arising from selections
• On a Statistical Problem Arising in the Classification of an Individual into One of Two Groups
• Topics in Applied Multivariate Analysis

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