The converse is not true, however, because logistic regression does not require the multivariate normal assumption of discriminant analysis.
22.
Discriminant analysis works by creating one or more linear combinations of predictors, creating a new latent variable for each function.
23.
With all this being considered, logistic regression has become the common choice, since the assumptions of discriminant analysis are rarely met.
24.
Altman's primary improvement was to apply a statistical method, discriminant analysis, which could take into account multiple variables simultaneously.
25.
It has been shown that when sample sizes are equal, and homogeneity of variance / covariance holds, discriminant analysis is more accurate.
26.
In 1968, in the first formal multiple variable analysis, Edward I . Altman applied multiple discriminant analysis within a pair-matched sample.
27.
The goal of linear discriminant analysis is to give a large separation of the class means while also keeping the in-class variance small.
28.
With P300 signals, intendiX relies on stepwise linear discriminant analysis ( SWLDA ), which is well established within the P300 BCI research community.
29.
In addition to its use in discriminant analysis it has been used in multiple regression analysis, probit regression, logistic regression and image analysis.
30.
Optimal discriminant analysis and classification tree analysis may be used to find the combination of variables and cut points that best separate classes of objects or events.
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