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Partial order concepts in applied sc...

Fattore, Marco.

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Partial order concepts in applied sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Partial order concepts in applied sciences/ edited by Marco Fattore, Rainer Bruggemann.
other author:	Fattore, Marco.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xi, 307 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Partially ordered sets. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-45421-4
ISBN:	9783319454214

Partial order concepts in applied sciences
Partial order concepts in applied sciences[electronic resource] /edited by Marco Fattore, Rainer Bruggemann. - Cham :Springer International Publishing :2017. - xi, 307 p. :ill., digital ;24 cm.

This 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.

ISBN: 9783319454214

Standard No.: 10.1007/978-3-319-45421-4doiSubjects--Topical Terms:

724557
Partially ordered sets.

LC Class. No.: QA171.485

Dewey Class. No.: 511.332

Partial order concepts in applied sciences
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245 0 0 $a Partial order concepts in applied sciences $h [electronic resource] / $c edited by Marco Fattore, Rainer Bruggemann.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xi, 307 p. : $b ill., digital ; $c 24 cm.
520 $a This 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.
650 0 $a Partially ordered sets. $3 724557
650 0 $a Technology. $3 531676
650 0 $a Environment. $3 594032
650 0 $a Statistics. $3 517247
650 0 $a Environmental sciences. $3 536320
650 2 4 $a Math. Appl. in Environmental Science. $3 891071
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 894294
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
700 1 $a Fattore, Marco. $3 3219295
700 1 $a Bruggemann, Rainer. $3 2057106
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45421-4
950 $a Earth and Environmental Science (Springer-11646)