國立虎尾科技大學 |

Methods for the Analysis of Asymmetric Proximity Data

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Methods for the Analysis of Asymmetric Proximity Data/ by Giuseppe Bove, Akinori Okada, Donatella Vicari.
Author:	Bove, Giuseppe.
other author:	Okada, Akinori.
Description:	X, 194 p. 68 illus., 39 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-981-16-3172-6
ISBN:	9789811631726

Methods for the Analysis of Asymmetric Proximity Data
Bove, Giuseppe.

Methods for the Analysis of Asymmetric Proximity Data[electronic resource] /by Giuseppe Bove, Akinori Okada, Donatella Vicari. - 1st ed. 2021. - X, 194 p. 68 illus., 39 illus. in color.online resource. - Behaviormetrics: Quantitative Approaches to Human Behavior,72524-4035 ;. - Behaviormetrics: Quantitative Approaches to Human Behavior,3.

Introduction -- Methods for direct representation of asymmetry -- Analysis of symmetry and skew-symmetry -- Cluster analysis for asymmetry -- Multiway models -- Software. .

This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,…), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.

ISBN: 9789811631726

Standard No.: 10.1007/978-981-16-3172-6doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Methods for the Analysis of Asymmetric Proximity Data
LDR:02855nam a22004095i 4500 001 1045616
003 DE-He213
005 20210814102650.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789811631726 $9 978-981-16-3172-6
024 7 $a 10.1007/978-981-16-3172-6 $2 doi
035 $a 978-981-16-3172-6
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Bove, Giuseppe. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1349019
245 1 0 $a Methods for the Analysis of Asymmetric Proximity Data $h [electronic resource] / $c by Giuseppe Bove, Akinori Okada, Donatella Vicari.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a X, 194 p. 68 illus., 39 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Behaviormetrics: Quantitative Approaches to Human Behavior, $x 2524-4035 ; $v 7
505 0 $a Introduction -- Methods for direct representation of asymmetry -- Analysis of symmetry and skew-symmetry -- Cluster analysis for asymmetry -- Multiway models -- Software. .
520 $a This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,…), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.
650 0 $a Statistics . $3 1253516
650 1 4 $a Applied Statistics. $3 1205141
650 2 4 $a Statistics and Computing/Statistics Programs. $3 669775
650 2 4 $a Statistical Theory and Methods. $3 671396
700 1 $a Okada, Akinori. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1326500
700 1 $a Vicari, Donatella. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1349020
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811631719
776 0 8 $i Printed edition: $z 9789811631733
776 0 8 $i Printed edition: $z 9789811631740
830 0 $a Behaviormetrics: Quantitative Approaches to Human Behavior, $x 2524-4027 ; $v 3 $3 1313773
856 4 0 $u https://doi.org/10.1007/978-981-16-3172-6
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)