, Volume 28, Issue 1, pp 49–53 | Cite as

Some remarks on failure to meet assumptions in discriminant analyses

  • Richard S. Melton


The linear discriminant function and the generalized distance function, two special cases of discriminant technique, require multivariate normality and homogeneous variance-covariance matrices, and hence utilize only mean differences among groups. The more general methods can also utilize differences in variances and/or covariances. Tables are given showing the discriminatory value of differences in means, variances, and intercorrelations, taken singly. Equations which utilize all such differences are given for the normal multivariate distribution.


Covariance Public Policy Discriminant Analysis Distance Function Statistical Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Psychometric Society 1963

Authors and Affiliations

  • Richard S. Melton

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