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It is used primarily to classify and make predictions in problems where the dependent variable appears in qualitative form, for example, bankrupt or non bankrupt. Therefore the first step is to establish group classifications.
After the groups are established, data are collected for the objects in the groups. MDA in its most simple form attempts to derive a linear combination of these characteristics which "best" discriminates between the groups. If a particular object, for instance, a corporation, has characteristics (financial ratios) which can be quantified for all the companies in the analysis the MDA determines a set of discriminant coefficients...
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