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

169,38 
169,38 
2025-07-31 169.3800 InStock
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Knygos aprašymas

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).

Informacija

Autorius: Heinz Schmidli
Serija: Contributions to Statistics
Leidėjas: Physica-Verlag HD
Išleidimo metai: 1995
Knygos puslapių skaičius: 192
ISBN-10: 3790808717
ISBN-13: 9783790808711
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Stochastics

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