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Reduced Rank Regression

With Applications to Quantitive Structure-Activity Relationships

Language EnglishEnglish
Book Paperback
Book Reduced Rank Regression Heinz Schmidli
Libristo code: 07086544
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, July 1995
Reduced rank regression is widely used in statistics to model multivariate data. In this monograph,... Full description
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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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About the book

Full name Reduced Rank Regression
Author Heinz Schmidli
Language English
Binding Book - Paperback
Date of issue 1995
Number of pages 179
EAN 9783790808711
ISBN 3790808717
Libristo code 07086544
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 375
Dimensions 178 x 254 x 11

Categories

Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Mathematics & Science > Chemistry > Physical chemistry > Quantum & theoretical chemistry
Economics, Finance, Business & Management > Economics > Economic theory & philosophy
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Science: general issues > Maths for scientists
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