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Reduced Rank Regression: With Applications to Quantitative Structure-activity Relationships by Heinz Schmidli (Paperback, 1995)
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About this product
Description
- DescriptionReduced rank regression is widely used in statistics to model multivariate data. In this mograph, 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).
Key Features
- Author(s)Heinz Schmidli
- PublisherSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Date of Publication27/07/1995
- LanguageEnglish
- FormatPaperback
- ISBN-103790808717
- ISBN-139783790808711
- SubjectMathematics
- Series TitleContributions to Statistics
Publication Data
- Place of PublicationHeidelberg
- Country of PublicationGermany
- ImprintPhysica-Verlag GmbH & Co
- Content Note35 black & white tables, biography
Dimensions
- Weight375 g
- Width178 mm
- Height254 mm
- Spine10 mm
Editorial Details
- Edition StatementSoftcover reprint of the original 1st ed. 1995
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