Re-sampling procedures for reducing bias of error rate estimation in multinomial classification

DOI10.1016/0167-9473(86)90024-1zbMath0588.62099OpenAlexW2027995571MaRDI QIDQ1073508

Min-Chiang Wang

Publication date: 1986

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(86)90024-1

zbMATH Keywords

jackknifebias-reducing estimates of error ratebootstrap procedurescross- validationdiscriminant function analysismultinomial classificationsmall sample situations

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Monte Carlo methods (65C05)

Related Items (1)

Estimating recorder points and other management science applications by bootstrap procedure

Cites Work

• Unnamed Item
• Bootstrap methods: another look at the jackknife
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• On the Problem of Bias in Multinomial Classification
• A Trustworthy Jackknife
• Sample-Based Classification Procedures Derived from Density Estimators

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