Comparison of algorithms for replacing missing data in discriminant analysis

DOI10.1080/03610929208830864zbMath0775.62159OpenAlexW2071137593WikidataQ57877925 ScholiaQ57877925MaRDI QIDQ3135663

Daniel Twedt, Dhanwant S. Gill

Publication date: 7 October 1993

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

Full work available at URL: https://doi.org/10.1080/03610929208830864

Mathematics Subject Classification ID

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

Related Items (3)

Discrimination of observations into one of two elliptic populations based on monotone training samples ⋮ A simulation study of imputation techniques in linear quadratic and kernel discriminant analyses ⋮ Imputation techniques for incomplete data in quadratic discriminant analysis

Cites Work

• Unnamed Item
• On the convergence properties of the EM algorithm
• Alternative Approaches to Missing Values in Discriminant Analysis
• The Treatment of Missing Values in Discriminant Analysis-1. The Sampling Experiment

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