Multivariate Methods of Representing Relations in R for Prioritization Purposes : Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets /
| Autores principales: | , |
|---|---|
| Autor Corporativo: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Colección: | Environmental and Ecological Statistics,
6 |
| Materias: |
Tabla de Contenidos:
- 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.