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Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sam
Analysis of Categorical Data from Historical Perspectives
Introduction to Categorical Data Analysis
Categorical Data Analysis
Elements of Dual Scaling
Exact Analysis of Discrete Data
Multidimensional Analysis and Discrete Models
Introduction to Multivariate Analysis
Measurement, Mathematics and New Quantification Theory
Nonlinear Dimensionality Reduction Techniques
New Developments in Categorical Data Analysis for the Social and Behavioral Sciences
Dimensionality Reduction in Data Science
Trends and Challenges in Categorical Data Analysis