Literaturnachweis - Detailanzeige
| Autor/in | Young, Brian |
|---|---|
| Titel | Quadratic versus Linear Rules in Predictive Discriminant Analysis. |
| Quelle | (1993), (22 Seiten)
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Classification; Discriminant Analysis; Equations (Mathematics); Group Membership; Matrices; Predictive Measurement; Research Methodology |
| Abstract | Either linear or quadratic rules may be used to derive classification equations in discriminant analysis for the purpose of predicting group membership. Generally, the decision about which rule to use is governed by the degree to which the separate group covariance matrices are unequal. An example is presented that supports the superior internal classification hit rate of quadratic rules under conditions in which the sample matrices are unequal. The superiority of quadratic internal classification results provided by SAS relative to those provided by SPSS-X is also demonstrated. Finally, it is suggested that the potential external generalizability of the classification results also must be considered when deciding whether to use linear or quadratic rules to derive classification functions. Four tables. (Contains 16 references.) (Author) |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
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