Robustness of Fisher's Linear Discriminant Function Under Two-Component Mixed Normal Models
- 1 September 1981
- journal article
- research article
- Published by JSTOR in Journal of the American Statistical Association
- Vol. 76 (375) , 676
- https://doi.org/10.2307/2287529
Abstract
Robustness of Fisher's linear discriminant function is evaluated when the distributions of the two populations are characterized by two-component mixed normal distributions with known parameters. The results suggest that the linear discriminant function is rather robust when the two distributions do not markedly deviate from normality and are moderately distant, particularly if they are similar in shape.Keywords
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