Overview
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).The book, Reduced Rank Regression: With Applications to Quantitative Structure-Activity Relationships (Contributions to Statistics) [Bulk, Wholesale, Quantity] ISBN#9783790808711 in Paperback by Heinz Schmidli may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
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