MDA

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MDA

V. methylene dioxyamphetamine.
References in periodicals archive ?
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.
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.
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.
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).
Multiple discriminant analysis (MDA) provides a procedure for assigning firms to predetermined groupings based on variables or attributes whose values may depend on the group to which the firm actually belongs.
As we can see, the equation contains parameters in the form of weights determined on the basis of multiple discriminant analysis, while the value of Z informs about the level of risk of bankruptcy.

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