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ERIC Number: ED371021
Record Type: RIE
Publication Date: 1994-Apr
Pages: 23
Abstractor: N/A
A Method for Selecting between Linear and Quadratic Classification Models in Discriminant Analysis.
Meshbane, Alice; Morris, John D.
A method for comparing the cross validated classification accuracies of linear and quadratic classification rules is presented under varying data conditions for the k-group classification problem. With this method, separate-group as well as total-group proportions of correct classifications can be compared for the two rules. McNemar's test for contrasting correlated proportions is used in the statistical comparisons of the separate group and total sample proportions. The method is illustrated with some real data sets. Included are two tables. (Contains 12 references.) (Author)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Note: Paper presented at the Annual Meeting of the American Educational Research Association (New Orleans, LA, April 4-8, 1994).