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Beschreibung
Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction problems. For the first time, both classical and Bayesian inference is discussed, using recently proposed procedures such as the ECM-algorithm and the Gibbs sampler. All methods are motivated and illustrated by examples taken from the area of quantitative structure-activity relationships (QSAR).
With Applications to Quantitative Structure-Activity Relationships
Details
| Verlag | Physica |
| Ersterscheinung | 27. Juli 1995 |
| Maße | 25.4 cm x 17.8 cm |
| Gewicht | 373 Gramm |
| Format | Softcover |
| ISBN-13 | 9783790808711 |
| Seiten | 179 |
Schlagwörter
Mathematical Applications in Chemistry, Probability Theory, Quanten- und theoretische Chemie, Quantitative Economics, Statistics in Business - Management - Economics - Finance - Insurance, Stochastik, Theoretical Chemistry, Wahrscheinlichkeitsrechnung und Statistik, Wirtschaftstheorie und -philosophie, Wirtschaftswissenschaft - Finanzen - Betriebswirtschaft und Management
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