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Reduced Rank Regression: With Applications to Quantitative Structure-Activity Relationships

Reduced Rank Regression: With Applications to Quantitative Structure-Activity Relationships

Hardcover

Series: Contributions to Statistics

ChemistryGeneral GardeningProbability & Statistics

ISBN10: 3790808717
ISBN13: 9783790808711
Publisher: Springer Nature
Published: Jul 27 1995
Pages: 179
Weight: 0.75
Height: 0.41 Width: 7.00 Depth: 10.00
Language: English
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).

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