Estimationg error rates in discriminant analysis with correlated training observations: a simulation study

DOI10.1080/00949659308811542zbMath0832.62056OpenAlexW2102049284MaRDI QIDQ4864193

J. P. Koolaard, C. R. O. Lawoko

Publication date: 29 January 1996

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659308811542

zbMATH Keywords

discriminant analysisnormal distributionnonparametric methodsmisclassification probabilitiesauto-regressive dependenceestimating error rates

Mathematics Subject Classification ID

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

Related Items (1)

The use of a distance measure in regularised discriminant analysis

Cites Work

• Some asymptotic results on the effect of autocorrelation on the error rates of the sample linear discriminant function
• Effect of autocorrelated training samples on Bayes' probabilities of misclassification
• Bootstrap methods: another look at the jackknife
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• Bootstrapped and smoothed classification error rate estimators
• Assessing the performance of an allocation rule
• The efficiency of Efron's “Bootstrap” Approach Applied to Error Rate Estimation in Discriminant Analysis
• Estimation of the Errors of Misclassification on the Criterion of Asymptotic Mean Square Error
• AN ASYMPTOTIC EXPANSION OF THE EXPECTATION OF THE ESTIMATED ERROR RATE IN DISCRIMINANT ANALYSIS1
• An Asymptotic Unbiased Technique for Estimating the Error Rates in Discriminant Analysis
• An Asymptotic Expansion for the Distribution of the Linear Discriminant Function

This page was built for publication: Estimationg error rates in discriminant analysis with correlated training observations: a simulation study