Data Analysis of Asymmetric Structures: Advanced Approaches in Computational Statistics, 1st Edition (Hardback) book cover

Data Analysis of Asymmetric Structures

Advanced Approaches in Computational Statistics, 1st Edition

By Takayuki Saito, Hiroshi Yadohisa

CRC Press

280 pages

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Hardback: 9780824753986
pub: 2004-12-28
eBook (VitalSource) : 9780429118159
pub: 2004-12-28
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Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines and  considers data analysis in fields such as psychology, sociology, social science, ecology, and marketing. In seven comprehensive chapters this guide details theories, methods, and models for the analysis of asymmetric structures in a variety of disciplines and presents future opportunities and challenges affecting research developments and business applications.


“The book provides an introduction to many of the techniques available, written at a level accessible to dedicated students and nonspecialists who have a solid background in linear algebra and statics. Knowledge of proximity-based techniques such as multidimensional scaling or cluster analysis would be very helpful as well. … In sum, this book will benefit readers who are interested in proximity-based methods for studying asymmetric data, particularly the linear algebraic and MDS approaches, …”

—Jay Verkuilen, University of Illinois, Urbana Champaign, in Psychometrika, Vol. 71, No. 4, December 2006

“In order to explore the structure, pattern, or some meaningful information inherent in the asymmetric data, researchers have developed many models, methods and theories for data analysis. This book is a comprehensive presentation of those studies, focusing on the asymmetry. …the book is well suited not only for research workers and professionals across a wide range of disciplines, but also for undergraduate and graduate students who are interested in asymmetry.”

—Zentralblatt MATH

Table of Contents


Paired comparison with asymmetry

Graphical representation of asymmetric data

Multidimensional scaling of asymmetric data

Cluster analysis of asymmetric data

Network analysis of asymmetric data

Analysis of asymmetry of the relationship between two sets of multivariate data.

About the Series

Statistics: A Series of Textbooks and Monographs

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General