MDA

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MDA

V. methylene dioxyamphetamine.
References in periodicals archive ?
Altman (1968) use the multiple discriminant analysis (MDA) technique to discriminate the healthy and defaulted firms.
After two years, Altman used Multiple Discriminant Analysis (MDA) and predicted the relationship of bankruptcy, using a dichotomous response variable, with independent predictors of accounting ratios.
With the given sample of 40 loans with 36 performing and 4 non-performing or restructured loans, the study performed the multiple discriminant analysis with 3 dependent credit risk categories, High Safety, Moderate Safety, and Inadequate Safety.
According to the scope of the dependent variable, when the category of the dependent variable is two, it is a two-group discriminant analysis, and, when it is more than three, it is a multiple discriminant analysis. This analysis finds coefficients of independent variables that maximize differences in distribution between groups.
Results of the cluster analysis were tested for accuracy using the multiple discriminant analysis, as a useful complement to cluster analysis, which is used primarily to predict membership in two or more mutually exclusive groups.
Multiple Discriminant Analysis (MDA) was chosen as the most appropriate method with which to determine how exporters and non-exporters differed from each other in regards to the eight profile variables measured.
The technique was multiple discriminant analysis, and we observed that this technique required at least 30 elements.
Early prediction methods are univariate analysis (UA), multiple discriminant analysis (MDA), logistic model, probit model, and so on [1-5].
Altman's Z-score model combines traditional financial measures with a multivariate technique known as multiple discriminant analysis to derive a set of weights for the specified variables.
We also used a multiple discriminant analysis (MDA; PROC DISCRIM using the SAS 9.2 software; SAS Institute Inc.
These tools include simple and multiple regression analysis, multiple discriminant analysis, and cluster analysis.
Multiple discriminant analysis (MDA) may allow us to determine whether a participant's performance in the six creativity dimensions (fluency, openness, flexibility, originality, elaboration, and naming) effectively identifies the participant's membership in a cognitive development group (group variable: 0 = formal thinking group, 1 = postformal thinking group).

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