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Beskrivning
The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.
1. On the Application of AIC to Bivariate Density Estimation, Nonparametric Regression and Discrimination.- 2. On the Interface Between Cluster Analysis, Principal Component Analysis, and Multidimensional Scaling.- 3. An Expert Model Selection Approach to Determine the “Best” Pattern Structure in Factor Analysis Models.- 4. BLUS Residuals in Multivariate Linear Models.- 5. Analysis of Within- and Across-Subject Correlations.- 6. Two-Stage Multi-Sample Cluster Analysis as a General Approach to Discriminant Analysis.- 7. On Relationship. Between AIC and the Overall Error Rates for Selection of Variables in a Discriminant Analysis.- 8. Distribution of Likelihood Criteria and Box Approximation.- 9. Topics in the Analysis of Repeated Measurements.- 10. Metric Considerations in Clustering: Implications for Algorithms.