To calculate and validate a linear discriminant function (LDF) for optical coherence tomography (OCT) to improve the diagnostic ability of isolated optic nerve head (ONH) parameters to discriminate ...
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 ...
Asymptotic expansions of the distributions of the linear and the quadratic discriminant functions are derived. The expected misclassification probabilities of these two functions are compared when the ...
Currently, final diagnosis of prostate cancer (PCa) is based on histopathological analysis of needle biopsies, but this process often bears uncertainties due to small sample size, tumour focality and ...
A TYPE=LINEAR data set contains the coefficients of a linear function of the variables in observations with _TYPE_='LINEAR'. The DISCRIM procedure stores linear discriminant function coefficients in a ...
Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation. Given a classification variable and several interval variables, ...
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