Partial Order Concepts in Applied Sciences

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Science & Nature, Science, Biological Sciences, Environmental Science, Nature
Cover of the book Partial Order Concepts in Applied Sciences by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319454214
Publisher: Springer International Publishing Publication: December 22, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319454214
Publisher: Springer International Publishing
Publication: December 22, 2016
Imprint: Springer
Language: English

TThis book illustrates recent advances in applications of partial order theory and Hasse diagram techniques to data analysis, mainly in the socio-economic and environmental sciences. For years, partial order theory has been considered a fundamental branch of mathematics of only theoretical interest. In recent years, its effectiveness as a tool for data analysis is increasingly being realized and many applications of partially ordered sets to real problems in statistics and applied sciences have appeared. Main examples pertain to the analysis of complex and multidimensional systems of ordinal data and to problems of multi-criteria decision making, so relevant in social and environmental sciences. 

Partial Order Concepts in Applied Sciences presents new theoretical and methodological developments in partial order for data analysis, together with a wide range of applications to different topics: multidimensional poverty, economic development, inequality measurement, ecology and pollution, and biology, to mention a few. The book is of interest for applied mathematicians, statisticians, social scientists, environmental scientists and all those aiming at keeping pace with innovation in this interesting, growing and promising research field.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

TThis book illustrates recent advances in applications of partial order theory and Hasse diagram techniques to data analysis, mainly in the socio-economic and environmental sciences. For years, partial order theory has been considered a fundamental branch of mathematics of only theoretical interest. In recent years, its effectiveness as a tool for data analysis is increasingly being realized and many applications of partially ordered sets to real problems in statistics and applied sciences have appeared. Main examples pertain to the analysis of complex and multidimensional systems of ordinal data and to problems of multi-criteria decision making, so relevant in social and environmental sciences. 

Partial Order Concepts in Applied Sciences presents new theoretical and methodological developments in partial order for data analysis, together with a wide range of applications to different topics: multidimensional poverty, economic development, inequality measurement, ecology and pollution, and biology, to mention a few. The book is of interest for applied mathematicians, statisticians, social scientists, environmental scientists and all those aiming at keeping pace with innovation in this interesting, growing and promising research field.

More books from Springer International Publishing

Cover of the book Progress in Location-Based Services 2014 by
Cover of the book Reasoning with Rough Sets by
Cover of the book Trypanosoma cruzi as a Foodborne Pathogen by
Cover of the book Macroscopic Metaphysics by
Cover of the book Earthquakes and Their Impact on Society by
Cover of the book Model Validation and Uncertainty Quantification, Volume 3 by
Cover of the book Handbook of Information Exchange in Supply Chain Management by
Cover of the book Urban Transportation Planning in the United States by
Cover of the book Blue Biotechnology by
Cover of the book Digital Make-Believe by
Cover of the book Innovation for Sustainability by
Cover of the book The Human Right to Water by
Cover of the book Spin and Charge Ordering in the Quantum Hall Regime by
Cover of the book Foundations of Elastoplasticity: Subloading Surface Model by
Cover of the book Advanced Computing in Industrial Mathematics by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy