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Reduced Rank Regression: With Applications to Quantitative Structure-Activity Relationships Softcover Repri Edition
Contributor(s): Schmidli, Heinz (Author)
ISBN: 3790808717     ISBN-13: 9783790808711
Publisher: Physica-Verlag
OUR PRICE:   $104.49  
Product Type: Hardcover
Published: July 1995
Qty:
Additional Information
BISAC Categories:
- Gardening
- Mathematics | Probability & Statistics - General
- Science | Chemistry - Physical & Theoretical
Dewey: 330.015
Series: Contributions to Statistics
Physical Information: 0.41" H x 7" W x 10" (0.75 lbs) 179 pages
 
Descriptions, Reviews, Etc.
Publisher 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).