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Methods for the Analysis of Asymmetric Proximity Data

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Methods for the Analysis of Asymmetric Proximity Data/ by Giuseppe Bove, Akinori Okada, Donatella Vicari.
作者:	Bove, Giuseppe.
其他作者:	Vicari, Donatella.
面頁冊數:	X, 194 p. 68 illus., 39 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistical Theory and Methods. -
電子資源:	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:

671396
Statistical Theory and Methods.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Methods for the Analysis of Asymmetric Proximity Data
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