Abstract
The distribution of the probabilities of misclassification is derived in this paper, which are reproduced by the use of the linear discriminant function. The statistical background is two independent doubly truncated t populations with distinct location parameters and common scale parameter and degrees of freedom. The behavior of the linear discriminant function is studied by comparing the distribution function of the errors of misclassification under the truncated t and truncated normal models.
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Batsidis, A. Errors of misclassification in discrimination with data from truncated t populations. Stat Papers 53, 281–298 (2012). https://doi.org/10.1007/s00362-010-0335-4
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DOI: https://doi.org/10.1007/s00362-010-0335-4