discriminant function

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discriminant function

[di¦skrim·ə·nənt ′fəŋk·shən]
(statistics)
A linear combination of a set of variables that will classify events or items for which the variables are measured with the smallest possible proportion of misclassifications.
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2051 Cononical Discriminant Functions Fen Eigen- Pct of Cum Canonical After value Variance PCT Corr Fcn 1 * 2.
Further development and testing of discriminant functions on a larger number of known individual could significantly facilitate this approach, although discriminant functions are best developed locally because of morphological variation in mean size of jaguars and puma throughout their range (Seymour 1989, Iriarte et al.
A nested ANOVA of the resulting discriminant functions was used to partition the variance in EFDs among species, colonies within species, and sclerites within colonies.
Following averaging of measurements from known-age individuals that had been captured more than once within an age class, we utilized 34 coati captures and 64 fox captures to generate the discriminant functions.
The inclusion of three distinct source groups allowed the generation of two discriminant functions that were applied to the antibiotic resistance profile of each E.
Thus, the discriminant functions to classify new observations can be used.
The procedure generates a discriminant function (for more than two groups, a set of discriminant functions) based on linear combinations of the predictor variables that provide the best discrimination between the groups.
Group centroids may be used to interpret the discriminant functions results from a global or an overall perspective.
Accordingly, results are presented from a classical multivariate morphometric study that singled out discriminant functions that complement, even at field level, the traditional morphology for the accurate and specific identification of female specimens of L.
The linear discriminant functions included in the model significantly differentiated the two groups (p < .