Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements

DOI10.12697/ACUTM.2021.25.05zbMath1476.62143MaRDI QIDQ3385450

Martin Singull, Dietrich von Rosen, Unnamed Author

Publication date: 18 December 2021

Published in: Acta et Commentationes Universitatis Tartuensis de Mathematica (Search for Journal in Brave)

zbMATH Keywords

asymptotic approximationgrowth curve modellinear discriminant functionprobability of misclassification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Asymptotic properties of the misclassification rates for Euclidean distance discriminant rule in high-dimensional data
• Error bounds for asymptotic approximations of the linear discriminant function when the sample sizes and dimensionality are large
• Bilinear regression analysis. An introduction
• On discrimination and classification with multivariate repeated measures data
• Classification Using Growth Curves
• The Generalization of Student's Ratio
• Discrimination and Classification with Repeated Measures Data under Different Covariance Structures
• An Introduction to Statistical Learning
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• Growth-Invariant Discriminant Functions and Generalized Distances
• Discriminant function between composite hypotheses and related problems
• Linear Statistical Inference and its Applications
• An Asymptotic Expansion for the Distribution of the Linear Discriminant Function
• THE STATISTICAL UTILIZATION OF MULTIPLE MEASUREMENTS
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