Contributions to Statistics: With Applications to Quantitative Structure-Activity Relationships

Schmidli, Heinz

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).

Details

Published by: Physica

Publication Date: 1995-07-27

Format: Paperback

ISBN-13: 9783790808711

DOI: 10.1007/978-3-642-50015-2

Dimensions: 254cm x178cm

Pages: 179