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#REDIRECT [[Linear discriminant analysis]]
{{Orphan|date=November 2006}}
'''Discriminant function analysis''' involves the predicting of a categorical dependent variable by one or more continuous or binary independent variables. It is statistically the opposite of [[MANOVA]]. It is useful in determining whether a set of variables is effective in predicting category membership. <br />
It is also a useful follow-up procedure to a MANOVA. Instead of doing a series of one-way [[Analysis of variance|ANOVA]]s, for ascertaining how the groups differ on the composite of dependent variables.


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Latest revision as of 11:54, 12 October 2023