An optimal discriminant rule in the class of linear and quadratic discriminant functions for large dimension and samples
type: Item
instance of: scholarly article
title: An optimal discriminant rule in the class of linear and quadratic discriminant functions for large dimension and samples
zbMATH Open document ID: 1056.62078
author: Chieko Matsumoto
published in: Hiroshima Mathematical Journal
publication date: 2005-02-28T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 2139568
zbMATH Keywords: asymptotic expansion
zbMATH Keywords: asymptotic unbiased estimator
zbMATH Keywords: discriminant function
zbMATH Keywords: misclassification probability
zbMATH Keywords: optimal discriminant rule
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.32917/hmj/1150998164
OpenAlex ID: W1608666840
Wikidata QID: Q128872997
DOI: 10.32917/HMJ/1150998164
Recommended article: A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data
Recommended article: Error bounds for asymptotic approximations of the linear discriminant function when the sample sizes and dimensionality are large
Recommended article: Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution
Recommended article: Quadratic discrimination: Some results on optimal low-dimensional representation
Recommended article: Q3566235
Recommended article: The optimal classification using a linear discriminant for two point classes having known mean and covariance
description: scientific article; zbMATH DE number 2139568