Contributions to Statistics

Reduced Rank Regression

With Applications to Quantitative Structure-Activity Relationships

Authors: Schmidli, Heinz

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About this book

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).

Table of contents (8 chapters)

  • Introduction

    Schmidli, Heinz

    Pages 1-4

  • Quantitative Structure Activity Relationships (QSAR)

    Schmidli, Heinz

    Pages 5-15

  • Linear Multivariate Prediction

    Schmidli, Heinz

    Pages 16-37

  • Heuristic Multivariate Prediction Methods

    Schmidli, Heinz

    Pages 38-48

  • Classical Analysis of Reduced Rank Regression

    Schmidli, Heinz

    Pages 49-102

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-50015-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA
  • ISBN 978-3-7908-0871-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Reduced Rank Regression
Book Subtitle
With Applications to Quantitative Structure-Activity Relationships
Authors
Series Title
Contributions to Statistics
Copyright
1995
Publisher
Physica-Verlag Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-50015-2
DOI
10.1007/978-3-642-50015-2
Softcover ISBN
978-3-7908-0871-1
Series ISSN
1431-1968
Edition Number
1
Number of Pages
X, 179
Topics