Theoretical accuracies are studied for asymtotic approximations of the expected probabilities of misclassification (EPMC) when the linear discriminant function is used to classify an observation as coming from one of two multivariate normal populations with a common covariance matrix. The asymptotic
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The bias of Fisher's linear discriminant function when the variancies are not equal
โ Scribed by Terence J. O'Neill
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 256 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0167-7152
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Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates