Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends the popular first edition and brings it up to date. It concisely but comprehensively covers the area, summarizing the mathematical ideas behind the various techniques and illustrating the techniques with real-life examples. A computer disk containing programs and data sets accompanies the book.
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The authors comment in the Preface that 'multidimensional scaling has now become popular and has extended into areas other than its traditional place in the behavioral sciences.' This is the essential reference. It has been updated sufficiently to merit purchase even by persons who already own the [first edition].
- Techometrics, May 2003
...I recommend this book to those who wish for an introduction to multidimensional scaling or who have some knowledge of the field and wish to become better informed.
-Journal of the Royal Statistical Society
The book will provide a good overview of the subject for people who hope to use MDS methods, and will also serve as an introduction to those who wish to explore the methods in more depth.
Short Book Reviews, Vol. 21, No. 2, August, 2001
- Techometrics, May 2003
...I recommend this book to those who wish for an introduction to multidimensional scaling or who have some knowledge of the field and wish to become better informed.
-Journal of the Royal Statistical Society
The book will provide a good overview of the subject for people who hope to use MDS methods, and will also serve as an introduction to those who wish to explore the methods in more depth.
Short Book Reviews, Vol. 21, No. 2, August, 2001
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First Sentence:
Suppose a set of n objects is under consideration and between each pair of objects (r, s) there is a measurement rs of the "dissimilarity" between the two objects. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
general dissimilarity coefficient, model estimation phase, group stimulus space, isotonic regions, sth points, nonmetric mds, rth object, sth objects, additive constant problem, nonmetric scaling, greatest convex minorant, squared dissimilarities, alternating least squares algorithm, rth point, original dissimilarities, classical scaling, dissimilarity data, sort subroutine, multidimensional unfolding, reciprocal averaging, individual differences scaling, isotonic regression, multidimensional scaling models, multiple correspondence analysis, allowable transformations Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Isle of Jura, Great Britain, Karl Pearson, Ordnance Survey, Royal Brackla, West Germany, Highland Park New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Suppose a set of n objects is under consideration and between each pair of objects (r, s) there is a measurement rs of the "dissimilarity" between the two objects. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
general dissimilarity coefficient, model estimation phase, group stimulus space, isotonic regions, sth points, nonmetric mds, rth object, sth objects, additive constant problem, nonmetric scaling, greatest convex minorant, squared dissimilarities, alternating least squares algorithm, rth point, original dissimilarities, classical scaling, dissimilarity data, sort subroutine, multidimensional unfolding, reciprocal averaging, individual differences scaling, isotonic regression, multidimensional scaling models, multiple correspondence analysis, allowable transformations Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Isle of Jura, Great Britain, Karl Pearson, Ordnance Survey, Royal Brackla, West Germany, Highland Park New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 93
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- Multiway Data Analysis by R. Coppi on 4 pages
- Multidimensional Scaling (Quantitative Applications in the Social Sciences) by Joseph B. Kruskal in Back Matter (1), and Back Matter (2)
- Classification and Related Methods of Data Analysis by Hans Hermann Bock in Back Matter (1), and Back Matter (2)
- Subset Selection in Regression, Second Editon by Alan Miller in Front Matter (1), and Front Matter (2)
- The Analysis of Contingency Tables, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Brian S. Everitt in Front Matter (1), and Front Matter (2)
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- Mathematical and Control Applications in Agriculture and Horticulture 1997 (IFAC Proceedings Volumes) by A. Munack on page 170, page 171, and page 173
- Analysis of Time Series Structure: SSA and related techniques by Nina Golyandina in Front Matter (1), and Front Matter (2)
- Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Richard Royall in Front Matter (1), and Front Matter (2)
- Stereology for Statisticians (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Adrian Baddeley in Front Matter (1), and Front Matter (2)
- Statistical Methods for Spatio-Temporal Systems (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Barbel Finkenstadt in Front Matter (1), and Front Matter (2)
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