Overview
- Second edition of a successful book
- Provides an up-to-date comprehensive treatment of multidimensional scaling (MDS), a statistical technique used to analyze the structure of similarity or dissimilarity data in multidimensional space
Part of the book series: Springer Series in Statistics (SSS)
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About this book
Keywords
Table of contents (24 chapters)
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MDS Models and Solving MDS Problems
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Unfolding
Reviews
From the reviews of the second edition:
"[Modern Multidimensional Scaling: Theory and Applications] is without a doubt the most comprehensive and most rigorous book on MDS...The second edition is considerably (140 pages) longer than the first, mostly because of much more material on MDS of rectangluar matrices (also known as unfolding) and MDS of asymmetric matrices is included...this is currently by far the best available book on MDS, and it is quite likely to stay in that position for a long time." Journal of Statistical Software, August 2005
"This is an updated and expanded version of the first edition … . the exercises at the end of each chapter are an attractive feature. I can recommend the book enthusiastically." (W.J. Krzanowski, Short Book Reviews, Vol. 26 (1), 2006)
"The authors provide a comprehensive treatment of multidimensional scaling (MDS), a family of statistical techniques for analyzing similarity or dissimilarity data on a set of objects. … This book may be used as an introduction to MDS for students in psychology, sociology and marketing … . It is also well suited for a variety of advanced courses on MDS topics." (Ivan Krivý, Zentralblatt MATH, Vol. 1085, 2006)
Authors and Affiliations
Bibliographic Information
Book Title: Modern Multidimensional Scaling
Book Subtitle: Theory and Applications
Authors: Ingwer Borg, Patrick J. F. Groenen
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/0-387-28981-X
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2005
Hardcover ISBN: 978-0-387-25150-9Published: 04 August 2005
Softcover ISBN: 978-1-4419-2046-1Published: 23 November 2010
eBook ISBN: 978-0-387-28981-6Published: 27 April 2007
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 2
Number of Pages: XXII, 614
Additional Information: Originally published in the series: Springer Series in Statistics
Topics: Statistics for Social Sciences, Humanities, Law, Marketing, Pattern Recognition, Statistics and Computing/Statistics Programs