Reduced rank regression
Subtitle: with applications to quantitative structure-activity relationships
By: Heinz Schmidli.
Series: Contributions to statistics
Publisher: Physica-Verlag; Physica
Published: 1995
Place of publication: Heidelberg
Language: eng
Number of pages: 179
Subjects: Bayesian statistical decision theory.; Multivariate analysis.; QSAR (Biochemistry); Regression analysis.
Description: 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).
Notes: Includes bibliographical references.