Overview
- Represents a complete and up-to-date reference on methods for analyzing asymmetric proximity data
- Provides a practical guide to build up graphical representation and classification of asymmetric proximity data through real-life examples
- Contains an up-to-date review of the specialized available software
Part of the book series: Behaviormetrics: Quantitative Approaches to Human Behavior (BQAHB, volume 7)
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Table of contents (5 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
Giuseppe Bove is Professor at the Department of Education, Roma Tre University.
Akinori Okada is Professor Emeritus at the Rikkyo University.
Donatella Vicari is Professor at the Department of Statistical Sciences, Sapienza University of Rome.
Bibliographic Information
Book Title: Methods for the Analysis of Asymmetric Proximity Data
Authors: Giuseppe Bove, Akinori Okada, Donatella Vicari
Series Title: Behaviormetrics: Quantitative Approaches to Human Behavior
DOI: https://doi.org/10.1007/978-981-16-3172-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-3171-9Published: 15 August 2021
Softcover ISBN: 978-981-16-3174-0Published: 16 August 2022
eBook ISBN: 978-981-16-3172-6Published: 14 August 2021
Series ISSN: 2524-4027
Series E-ISSN: 2524-4035
Edition Number: 1
Number of Pages: X, 194
Number of Illustrations: 29 b/w illustrations, 39 illustrations in colour
Topics: Applied Statistics, Statistics and Computing/Statistics Programs, Statistical Theory and Methods