Multi-indicator Systems and Modelling in Partial Order
Published on 23. August 2016
Book
Paperback/Softback
XIX, 437 pages
978-1-4939-5279-3 (ISBN)
Description
"Multi-indicator Systems and Modelling in Partial Order" contains the newest theoretical concepts as well as new applications or even applications, where standard multivariate statistics fail. Some of the presentations have their counterpart in the book; however, there are many contributions, which are completely new in the field of applied partial order.
More details
Edition
Softcover reprint of the original 1st ed. 2014
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
79 s/w Abbildungen, 60 farbige Abbildungen
XIX, 437 p. 139 illus., 60 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
775 gr
ISBN-13
978-1-4939-5279-3 (9781493952793)
DOI
10.1007/978-1-4614-8223-9
Schweitzer Classification
Other editions
Additional editions
Rainer Brüggemann | Lars Carlsen | Jochen Wittmann
Multi-indicator Systems and Modelling in Partial Order
Book
11/2013
1st Edition
Springer
€106.99
Shipment within 15-20 days
Persons
Content
Part A: Theory.- Evaluation as a general approach to problem driven mathematical modeling.- Multivariate Data Sets for Inference of Order: Some Considerations and Explorations.- Measures of Incomparability and of Inequality and their Applications.- Measuring structural dissimilarity between finite partial orders.- Measuring complexity of partially ordered sets.- Part B: Partial Order as Tool to Analyse Composite Indicators.- Comparative Knowledge Discovery with Partial Order and Composite Indicator.- A software platform Towards a Comparison of Cars - A case study for Handling Ratio-Based Decisions.- Part C: New Trends in Partial Order.- Coordination of Contrariety and Ambiguity in Comparative Compositional Contexts: Balance of Normalized Definitive Status in Multi-indicator Systems.- Partial orders in socio-economics: an applicative challenge for poset theorists or a cultural challenge for social scientists.- Part D: Applications.- Ranking Hazardous Chemicals with a heuristic Approach to reduce Isolated Objects in Hasse Diagrams.- Hasse diagram Technique can further improve the interpretation of results in multi-elemental large-scale biomonitoring studies of atmospheric metal pollution.- Application of Partial Orders and Hasse Matrices in Ranking Contaminated sites.- Evaluating Ranking Robustness in Multi-indicator uncertain matrices: An application based on Simulation and Global Sensitivity Analysis.- Hasse Diagram technique Contributions to Environmental Risk Assessment.- Part E: Software Aspects.- PARSEC: an R package for poset-based evaluation in socioeconomic sciences.- Higher-Order indicator with Rank-Related Clustering in Multi-Indicator Systems.- Pyhasse Software Features Applied on the Evaluation of Chemicals in Human Breast Milk Samples in Turkey.- Indicator Analyses, What is important - and for what?.- PyHasse software for partial order analysis; Scientific background and description of some modules.- Index.