Reduced Rank Regression: With Applications to Quantitative Structure-Activity Relationships by Heinz Schmidli (Paperback, 1995)

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Modification of Substances. Physico—Chemical Descriptors. Biological Descriptors. Prediction Model. Linear Multivariate Prediction. Multivariate Prediction. Prediction Criteria. Principal Component Regression.

About this product

Product Information

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. Both classical and Bayesian inference is discussed, as well as 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).

Product Identifiers

PublisherSpringer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-139783790808711
eBay Product ID (ePID)106132998

Product Key Features

Publication NameReduced Rank Regression: with Applications to Quantitative Structure-Activity Relationships
SubjectEconomics, Chemistry, Government, Mathematics
Publication Year1995
TypeTextbook
FormatPaperback
LanguageEnglish
AuthorHeinz Schmidli
Number of Pages179 Pages

Dimensions

Item Height254 mm
Item Weight375 g
Item Width178 mm

Additional Product Features

Country/Region of ManufactureGermany
Title_AuthorHeinz Schmidli
Series TitleContributions to Statistics
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