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| Algorithms | 1 |
| Classification | 1 |
| Discriminant Analysis | 1 |
| Least Squares Statistics | 1 |
| Robustness (Statistics) | 1 |
| Scaling | 1 |
| Simulation | 1 |
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| Psychometrika | 1 |
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Peer reviewedVerboon, Peter; van der Lans, Ivo A. – Psychometrika, 1994
A method for robust canonical discriminant analysis via two robust objective loss functions is discussed. Majorization is used at several stages in the minimization procedure to obtain a monotonically convergent algorithm. A simulation study and empirical data illustrate the procedure. (SLD)
Descriptors: Algorithms, Classification, Discriminant Analysis, Least Squares Statistics
