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.
Introduction. 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.