Additive estimators for probabilities of correct classification
type: Item
instance of: scholarly article
title: Additive estimators for probabilities of correct classification
zbMATH Open document ID: 0389.62044
DOI: 10.1016/0031-3203(78)90029-8
author: Ned Glick
published in: Pattern Recognition
publication date: 1978-01-01T00:00:00Z
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 3605787
MaRDI profile type: Publication
full work available at URL: 0031-3203(78)90029-8
OpenAlex ID: W2120503632
cites work: Q3255781
cites work: Minimum variance estimators for misclassification probabilities in discriminant analysis
cites work: Estimation of a multivariate density
cites work: Q5342817
cites work: Q4096267
cites work: Some Expected Values for Probabilities of Correct Classification in Discriminant Analysis
cites work: Bootstrap methods: another look at the jackknife
cites work: Application of optimum error-reject functions (Corresp.)
cites work: Nonparametric Bayes error estimation using unclassified samples
cites work: Sample-Based Classification Procedures Derived from Density Estimators
cites work: Sample-based classification procedures related to empiric distributions
cites work: Q5550775
cites work: Patterns in pattern recognition: 1968-1974
cites work: The Estimation of Probability Densities and Cumulatives by Fourier Series Methods
cites work: Error estimation in pattern recognition via&lt;tex&gt;L_alpha&lt;/tex&gt;-distance between posterior density functions
cites work: A Nonparametric Estimate of a Multivariate Density Function
cites work: AN ASYMPTOTIC EXPANSION FOR THE VARIANCE OF THE ERRORS OF MISCLASSIFICATION OF THE LINEAR DISCRIMINANT FUNCTION1
cites work: AN ASYMPTOTIC EXPANSION OF THE EXPECTATION OF THE ESTIMATED ERROR RATE IN DISCRIMINANT ANALYSIS1
cites work: Estimation of the Errors of Misclassification on the Criterion of Asymptotic Mean Square Error
cites work: The Relationship in Terms of Asymptotic Mean Square Error between the Separate Problems of Estimating Each of the Three Types of Error Rate of the Linear Discriminant Function
cites work: The asymptotic distributions of the conditional error rate and risk in discriminant analysis
cites work: An Asymptotic Unbiased Technique for Estimating the Error Rates in Discriminant Analysis
cites work: The bias of the apparent error rate in discriminant analysis
cites work: Variance comparisons for unbiased estimators of probability of correct classification (Corresp.)
cites work: An Asymptotic Expansion for the Distribution of the Linear Discriminant Function
cites work: On Estimation of a Probability Density Function and Mode
cites work: On empirical density function
cites work: Remarks on Some Nonparametric Estimates of a Density Function
cites work: Curve Estimates
cites work: Estimation of Probability Density by an Orthogonal Series
cites work: Estimation of the probabilities of misclassification for a linear discriminant function in the univariate normal case
cites work: Estimating the Conditional Probability of Misclassification
cites work: Three Probabilities of Misclassification
cites work: Estimating the Expected and the Optimal Probabilities of Misclassification
cites work: Series Estimation of a Probability Density Function
cites work: On Multivariate Density Estimates Based on Orthogonal Expansions
cites work: An Introduction to the Implementation and Theory of Nonparametric Density Estimation
cites work: Bibliography on estimation of misclassification
cites work: Nonparametric estimates of probability densities
cites work: Nonparametric Probability Density Estimation: I. A Summary of Available Methods
cites work: Nonparametric probability density estimation
description: scientific article; zbMATH DE number 3605787