國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Partial order concepts in applied sc...

Bruggemann, Rainer.

Partial order concepts in applied sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Partial order concepts in applied sciencesedited by Marco Fattore, Rainer Bruggemann.
其他作者:	Fattore, Marco.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xi, 307 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Partially ordered sets.
電子資源:	http://dx.doi.org/10.1007/978-3-319-45421-4
ISBN:	9783319454214$q(electronic bk.)

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$q(electronic bk.)

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

199062
Partially ordered sets.

LC Class. No.: QA171.485

Dewey Class. No.: 511.332

Partial order concepts in applied sciences
LDR:02254nmm a2200325 a 4500 001 506144
003 DE-He213
005 20161222101712.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783319454214$q(electronic bk.)
020 $a 9783319454191$q(paper)
024 7 $a 10.1007/978-3-319-45421-4 $2 doi
035 $a 978-3-319-45421-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA171.485
072 7 $a RN $2 bicssc
072 7 $a PBW $2 bicssc
072 7 $a SCI026000 $2 bisacsh
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 511.332 $2 23
090 $a QA171.485 $b .P273 2017
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 199062
650 0 $a Technology. $3 242572
650 0 $a Environment. $3 257240
650 0 $a Statistics. $3 182057
650 0 $a Environmental sciences. $3 180216
650 2 4 $a Math. Appl. in Environmental Science. $3 274052
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 274394
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 348605
700 1 $a Fattore, Marco. $3 771949
700 1 $a Bruggemann, Rainer. $3 260361
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45421-4
950 $a Earth and Environmental Science (Springer-11646)