Revision as of 12:44, 13 March 2010 edit Ibn Battuta (talk \| contribs) Extended confirmed users 1,657 edits m clarified & thus removed CLARIFICATION tag... if still not clear, please contact me on my talk page as I won't watch this article... ← Previous edit		Revision as of 23:31, 29 April 2010 edit undo Mild Bill Hiccup (talk \| contribs) Extended confirmed users, Pending changes reviewers, Rollbackers 175,657 edits m spelling Next edit →
Line 1: '''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 statistically the opposite of an [[ANOVA]] or [[MANOVA]], which is used to predict one (ANOVA) or multiple (MANOVA) continuous dependent variables by one or more ~~indepedent~~independent categorical variables. It is useful in determining whether a set of variables is effective in predicting category membership. It is also 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.

Discriminant function analysis: Difference between revisions