Partial Least Squares Regression: and Related Dimension Reduction Methods

Author:   R. Dennis Cook (University of Minnesota, U.S.A) ,  Liliana Forzani (Universidad Nacional del Litoral, Argentina)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032773186


Pages:   412
Publication Date:   17 July 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Partial Least Squares Regression: and Related Dimension Reduction Methods


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Author:   R. Dennis Cook (University of Minnesota, U.S.A) ,  Liliana Forzani (Universidad Nacional del Litoral, Argentina)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.988kg
ISBN:  

9781032773186


ISBN 10:   1032773189
Pages:   412
Publication Date:   17 July 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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R. Dennis Cook is Professor Emeritus, School of Statistics, University of Minnesota. His research areas include dimension reduction, linear and nonlinear regression, experimental design, statistical diagnostics, statistical graphics, and population genetics. Perhaps best known for “Cook’s Distance,” a now ubiquitous statistical method, he has authored over 250 research articles, two textbooks and three research monographs. He is a five-time recipient of the Jack Youden Prize for Best Expository Paper in Technometrics as well as the Frank Wilcoxon Award for Best Technical Paper. He received the 2005 COPSS Fisher Lecture and Award, and is a Fellow of ASA and IMS. Liliana Forzani is Full Professor, School of Chemical Engineering, National University of Litoral and principal researcher of CONICET (National Scientific and Technical Research Council), Argentina. Her contributions are in mathematical statistics, especially sufficient dimension reduction, abundance in regression and statistics for chemometrics. She established the first research group in statistics at her university after receiving her Ph.D in Statistics at the University of Minnesota. She has authored over 75 research articles in mathematics and statistics, and was recipient of the L‘Oreal-Unesco-Conicet prize for Women in science.

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