Approximation of misclassification probabilities in linear discriminant analysis based on repeated measurements

DOI10.1080/03610926.2022.2062605OpenAlexW4223610853MaRDI QIDQ6067497

Furaha Chuma, Unnamed Author

Publication date: 17 November 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2022.2062605

zbMATH Keywords

approximationgrowth curve modelextended growth curve modellinear discriminant functionprobability of misclassification

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Asymptotic properties of the misclassification rates for Euclidean distance discriminant rule in high-dimensional data
• An asymptotic approximation for EPMC in linear discriminant analysis based on monotone missing data
• Error bounds for asymptotic approximations of the linear discriminant function when the sample sizes and dimensionality are large
• Bilinear regression analysis. An introduction
• Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension
• Non-asymptotic analysis of approximations for multivariate statistics
• Methods of Multivariate Analysis
• Classification Using Growth Curves
• 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
• An Asymptotic Expansion for the Distribution of the Linear Discriminant Function
• THE STATISTICAL UTILIZATION OF MULTIPLE MEASUREMENTS
• Multivariate Statistics
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