Handbook of Partial Least Squares: Concepts, Methods and Applications - Springer Handbooks of Computational Statistics (Paperback)Vincenzo Esposito Vinzi (editor), Wynne W. Chin (editor), Joerg Henseler (editor), Huiwen Wang (editor)
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This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 798
Weight: 1223 g
Dimensions: 235 x 155 x 41 mm
Edition: Softcover reprint of the original 1st ed. 201
From the reviews:
"I found the book to be a good resource for those without prior knowledge of PLS looking forward to an introduction as well as a comprehensive reference for every researcher and every practitioner interested in the most recent advances in PLS methodology. All of them should have this title as an essential part of their library. ... Great Stuff! ... will be the definitive reference work in the field for a good time to come. ... it is wonderfully readable and referable." (Current Engineering Practice, August, 2011)
"The book is divided into three parts, dealing, respectively, with contemporary methodological developments, applications in marketing and related areas, and tutorials on particular aspects of PLS analysis. It provides a comprehensive overview of recent advances in the area, and describes cutting-edge methodological developments showing how PLS can be applied in tackling a wide variety of problem types. ... for people who do have some prior experience with PLS, this book is a goldmine of novel methodological and practical applications." (David J. Hand, International Statistical Review, Vol. 80 (3), 2012)
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