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Reduced Rank Regression
Heinz Schmidli
€ 127.22
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Description for Reduced Rank Regression
Paperback. 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 are discussed. Series: Contributions to Statistics. Num Pages: 179 pages, 35 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 254 x 178 x 10. Weight in Grams: 375.
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).
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).
Product Details
Format
Paperback
Publication date
1995
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
179
Condition
New
Series
Contributions to Statistics
Number of Pages
179
Place of Publication
Heidelberg, Germany
ISBN
9783790808711
SKU
V9783790808711
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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