Multivariate Methods of Representing Relations in R for Prioritization Purposes
Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets
1st Edition
Published on 24. March 2012
XVIII, 298 pages
978-1-4614-3122-0 (ISBN)
Description
This monograph is multivariate, multi-perspective and multipurpose. We intend to be innovatively integrative through statistical synthesis. Innovation requires capacity to operate in ways that are not ordinary, which means that conventional computations and generic graphics will not meet the needs of an adaptive approach. Flexible formulation and special schematics are essential elements that must be manageable and economical.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVIII, 298 p.
File size
8,42 MB
ISBN-13
978-1-4614-3122-0 (9781461431220)
DOI
10.1007/978-1-4614-3122-0
Schweitzer Classification
Other editions
Additional editions
Wayne L. Myers | Ganapati P. Patil
Multivariate Methods of Representing Relations in R for Prioritization Purposes
Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets
Book
04/2014
Springer
€106.99
Shipment within 15-20 days
Wayne L. Myers | Ganapati P. Patil
Multivariate Methods of Representing Relations in R for Prioritization Purposes
Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets
Book
03/2012
Springer
€106.99
Shipment within 15-20 days
Content
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.
