*#REDIRECT [[Linear discriminant analysis]] ▼'''Discriminant function analysis''' is a statistical analysis to predict a [[categorical variable|categorical]] [[dependent variable|dependent]] [[Variable (mathematics)#Applied statistics|variable]] by one or more [[continuous variable|continuous]] or [[binary]] [[independent variable|independent]] variables. It is different from an [[ANOVA]] or [[MANOVA]], which is used to predict one (ANOVA) or multiple (MANOVA) continuous dependent variables by one or more independent categorical variables instead. Discriminant function analysis is useful in determining whether a set of variables is effective in predicting category membership.
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Moreover, it is a useful follow-up procedure to a MANOVA instead of doing a series of one-way ANOVAs, for ascertaining how the groups differ on the composite of dependent variables.
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In simple terms, discriminant function analysis is classification - the act of distributing things into classes or categories of the same type.
==See also==
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*[[Statistical classification]]
▲*[[Linear discriminant analysis]]
*[[Multiple discriminant analysis]]
==External links==
* [http://www2.chass.ncsu.edu/garson/pa765/discrim.htm Course notes, Discriminant function analysis by G. David Garson, NC State University]
* [http://www.psychstat.missouristate.edu/multibook/mlt03m.html Course notes, Discriminant function analysis by David W. Stockburger, Missouri State University]
* [http://userwww.sfsu.edu/~efc/classes/biol710/discrim/discrim.pdf Discriminant function analysis (DA) by John Poulsen and Aaron French, San Francisco State University]
[[Category:Multivariate statistics]]
[[Category:Statistical classification]]
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[[es:Análisis discriminante]]
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