Multivariate Methods of Representing Relations in R for Prioritization Purposes Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets
This monograph is a four-fold featuring of adaptive analysis. · First is data distillation and comparative coupling whereby the results of one analysis are fed forward into another analysis without necessarily returning directly to the original data matrix, and analytical avenues usually seen as alt...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2012, 2012
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| Edition: | 1st ed. 2012 |
| Series: | Environmental and Ecological Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Motivation and Computation
- Part I: Synergistic Scalings, Contingent Clustering and Distance Domains
- Suites of Scalings
- Rotational Rescaling and Disposable Dimensions
- Comparative Clustering for Contingent Collectives
- Distance Domains, Skeletal Structures and Representative Ranks
- Part II: Precedence and Progressive Prioritization
- Ascribed Advantage, Subordination Schematic and ORDIT Ordering
- Precedence Plots, Coordinated Crite4ria and Rank Relations
- Case Comparisons and Precedence Pools
- Distal Data and Indicator Interactions
- Landscape Linkage for Prioritizing Proximate Patches
- Constellations of Criteria
- Severity Setting for Human Health
- Part III: Transformation Techniques and Virtual Variates
- Matrix Methods for Multiple Measures
- Segregating Sets Along Directions of Discrimination
- Index