Some Measures for Discriminating between Normal Multivariate Distributions with Unequal Covariance Matrices-Reference-Cited by-同舟云学术

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Some Measures for Discriminating between Normal Multivariate Distributions with Unequal Covariance Matrices

Published:1973 Issue: Volume: Page:337-344
ISSN:
Container-title:Multivariate Analysis–III
language:
Short-container-title:

Author:

CHERNOFF HERMAN

Publisher

Elsevier

Reference7 articles.

1. Classification into two multivariate normal distributions with different covariance matrices;Anderson;Ann. Math. Statist.,1962

2. Recognition of Patterns;Becker,1968

3. A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations;Chernoff;Ann. Math. Statist.,1952

4. Sequential design of experiments;Chernoff;Ann. Math. Statist.,1959

5. The selection of effective attributes for deciding between hypotheses using linear discriminant functions;Chernoff,1972

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resampling schemes for estimating the similarity measures on location model;Communications in Statistics - Simulation and Computation;1994-01

2. Between-group analysis with heterogeneous covariance matrices: The common principal component model;Journal of Classification;1990-03

3. A Nonmetric Approach to Linear Discriminant Analysis;Journal of the American Statistical Association;1989-03

4. C280. Some general measures of similarity and their values under multlnormallty;Journal of Statistical Computation and Simulation;1987-07

5. Risk aversion in decision models;Advanced Studies in Theoretical and Applied Econometrics;1985

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