Discriminant analysis when a block of observations is missing

DOI10.1023/A:1004129706000zbMath0960.62061OpenAlexW2079753169MaRDI QIDQ5926209

Hie-Choon Chung, Chien-Pai Han

Publication date: 28 February 2001

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1004129706000

zbMATH Keywords

bootstrap estimationleave-one-out estimationlinear combination classificationlinear combination of two discriminant functionsMonte Carlo study

Mathematics Subject Classification ID

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

Related Items (4)

Discrimination of observations into one of two elliptic populations based on monotone training samples ⋮ An asymptotic expansion for the distribution of the linear discriminant function based on monotone missing data ⋮ Kernel classification with missing data and the choice of smoothing parameters ⋮ Multivariate Linear Regression Model with Elliptically Contoured Distributed Errors and Monotone Missing Dependent Variables

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