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Table of contents (20 chapters)
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Front Matter
Keywords
About this book
Multidimensional Similarity Structure Analysis comprises a class of models that represent similarity among entities (for example, variables, items, objects, persons, etc.) in multidimensional space to permit one to grasp more easily the interrelations and patterns present in the data. The book is oriented to both researchers who have little or no previous exposure to data scaling and have no more than a high school background in mathematics and to investigators who would like to extend their analyses in the direction of hypothesis and theory testing or to more intimately understand these analytic procedures. The book is repleted with examples and illustrations of the various techniques drawn largely, but not restrictively, from the social sciences, with a heavy emphasis on the concrete, geometric or spatial aspect of the data representations.
Authors and Affiliations
Bibliographic Information
Book Title: Multidimensional Similarity Structure Analysis
Authors: I. Borg, J. Lingoes
DOI: https://doi.org/10.1007/978-1-4612-4768-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York Inc. 1987
Softcover ISBN: 978-1-4612-9147-3Published: 06 October 2011
eBook ISBN: 978-1-4612-4768-5Published: 06 December 2012
Edition Number: 1
Number of Pages: XIV, 390
Topics: Applications of Mathematics