R. DennisCook,LilianaForzani
Partial Least Squares Regression: and Related Dimension Reduction Methods
Partial Least Squares Regression: and Related Dimension Reduction Methods
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- More about Partial Least Squares Regression: and Related Dimension Reduction Methods
Format: Hardback
Length: 412 pages
Publication date: 17 July 2024
Publisher: Taylor & Francis Ltd
Through envelopes, more has been learned about PLS regression, resulting in a mass of information that allows an envelope bridge that takes PLS regression from a black-box algorithm to a core statistical paradigm based on objective function optimization. This book develops this bridge.
Weight: 775g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032773186
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