Multidimensional Similarity Structure Analysis / by I. Borg, J. Lingoes
| データ種別 | 電子ブック |
|---|---|
| 出版者 | New York, NY : Springer New York |
| 出版年 | 1987 |
| 本文言語 | 英語 |
| 大きさ | XIV, 390 p : online resource |
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| 内容注記 | 1 - Construction of SSA Representations 2 - Ordinal SSA by Iterative Optimization 3 - Monotone Regression 4 - SSA Models, Measures of Fit, and Their Optimization 5 - Three Applications of SSA 6 - SSA and Facet Theory 7 - Degenerate Solutions in Ordinal SSA 8 - Computer Simulation Studies on SSA 9 - Multidimensional Unfolding 10 - Generalized and Metric Unfolding 11 - Generalized SSA Procedures 12 - Confirmatory SSA (1) 13 - Confirmatory SSA (2) 14 - Physical and Psychological Spaces 15 - SSA as Multidimensional Scaling 16 - Scalar Products 17 - Matrix Algebra for SSA 18 - Mappings of Data in Distances 19 - Procrustes Procedures 20 - Individual Differences Models References Name Index |
|---|---|
| 一般注記 | 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 |
| 著者標目 | *Borg, I. author Lingoes, J. author SpringerLink (Online service) |
| 件 名 | LCSH:Mathematics LCSH:Applied mathematics LCSH:Engineering mathematics FREE:Mathematics FREE:Applications of Mathematics |
| 分 類 | DC23:519 |
| 巻冊次 | ISBN:9781461247685 
|
| ISBN | 9781461247685 |
| URL | http://dx.doi.org/10.1007/978-1-4612-4768-5 |
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