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＜電子ブック＞
Methods for the Analysis of Asymmetric Proximity Data / by Giuseppe Bove, Akinori Okada, Donatella Vicari
(Behaviormetrics: Quantitative Approaches to Human Behavior. ISSN:25244035 ; 7)

版	1st ed. 2021.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2021
大きさ	X, 194 p. 68 illus., 39 illus. in color : online resource
著者標目	*Bove, Giuseppe author Okada, Akinori author Vicari, Donatella author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Mathematical statistics—Data processing FREE:Applied Statistics FREE:Statistics and Computing FREE:Statistical Theory and Methods
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-981-16-3172-6

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