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.
References in periodicals archive ?
In this study, the 12 sensor outputs in E-nose analysis and 8 color outputs obtained from color analysis were reduced to 2 discriminant functions.
Discriminant functions calculated from data on these "training" fish were used to classify each of the remaining fish from each haul ("haul" test set) or those fish plus all remaining fish ("locality" test set).
In a recent series of studies, we reported that multivariate discriminant functions based on the serum concentrations of various biochemical indexes efficiently discriminate between chronic hepatobiliary diseases at different stages of their natural history (2-4).
Because the grouping variable was comprised of four policy types, three discriminant functions were calculated.
An important consideration is that there are many distributions that satisfy the logistic assumption besides the normal one, which should theoretically produce discriminant functions with better classification power.
Discriminant functions were validated in the method of Jackknife (SAS, 1999).
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.
The linear discriminant functions included in the model significantly differentiated the two groups (p < .