Comparison of two methods of handling covariates in discriminatory analysis

DOI10.1007/BF02868561zbMath0223.62076OpenAlexW2078281610MaRDI QIDQ2548145

William G. Cochran

Publication date: 1964

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02868561

Mathematics Subject Classification ID

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

Related Items (11)

Error rates for classifying observations based on binary and continuous variables with covariates ⋮ Covariate classification by post–stratification ⋮ The location linear discriminant with covariates ⋮ Asymptotic Comparison of Two Discriminants Used in Normal Covariate Classification ⋮ Covariance adjusted discriminant functions ⋮ Manova with covariates and an application in profile analysis ⋮ Error rates in classification consisting of discrete and continuous variables in the presence of covariates ⋮ On the performance of some statistics in discriminant analysis based on covariates ⋮ A locally most powerful invariant test for the equality of means associated with covariate discriminant analysis ⋮ Covariance adjustments in discrimination of mixed discrete and continuous variables ⋮ A study of redundancy of some variables in covariate discriminant analysis

Cites Work

• Charts of the Power of the $f$-Test
• Studies in the history of probability and statistics. V. A note on playing cards
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• An Asymptotic Expansion for the Distribution of the Linear Discriminant Function
• Discriminant Functions with Covariance
• CHARTS OF THE POWER FUNCTION FOR ANALYSIS OF VARIANCE TESTS, DERIVED FROM THE NON-CENTRAL F-DISTRIBUTION
• Inverse Tables of Probabilities of Errors of the Second Kind

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