ERIC ED441029: Using Linear versus Quadratic Rules pdf

ERIC ED441029: Using Linear versus Quadratic Rules

More Book Details

Description of the Book:

Both predictive discriminant analysis (PDA) and descriptive discriminant analysis (DDA) require a decision to pool group covariance matrices, or alternatively, to retain separate group covariance matrices when the group covariance matrices are too dissimilar to pool. Pooling the group covariance matrices involves the so-called “linear” rule, generally preferred in predictive and descriptive analysis. Retaining separate group covariance matrices invokes the “quadratic” rule, resulting in a higher hit rate in PDA and a lower lambda in DDA. However, the quadratic rule is influenced by unique sampling error variance, making the generalizability of quadratic results suspect. (Contains 12 references.) (Author/SLD

• Creator/s: ERIC
• Date: 4/21/2000
• Year: 2000
• Book Topics/Themes: ERIC Archive, Discriminant Analysis, Multivariate Analysis, McGee, Jennifer

An excerpt captured from the PDF book