What question did this study set out to answer?

The aim is to explore and clarify various techniques and approaches within nonlinear multivariate analysis.

June 1, 1992Journal of the American Statistical Association632 citations

Nonlinear Multivariate Analysis.

YTYoshio TakaneUniversity of Victoria AGA. Gifi

Key Points

The aim is to explore and clarify various techniques and approaches within nonlinear multivariate analysis.
Examination of methods like nonlinear principal components analysis and canonical correlation analysis.
Discussion on the treatment of categorical data and stability in analysis.
Review of future programs and special cases in multivariate analysis techniques.
Highlights the significance of nonlinear approaches in analyzing relationships among variables.
Discusses the importance of stability in results derived from various multivariate methods.

Abstract

Conventions and Controversies in Multivariate Analysis. Coding of Categorical Data. Homogeneity Analysis. Nonlinear Principal Components Analysis. Nonlinear Generalized Canonical Analysis. Nonlinear Canonical Correlation Analysis. Asymmetric Treatment of Sets: Some Special Cases, Some Future Programs. Multidimensional Scaling and Correspondence Analysis. Models as Gauges for the Analysis of Binary Data. Reflections on Restrictions. Nonlinear Multivariate Analysis: Principles and Possibilities. The Study of Stability. The Proof of the Pudding. Appendices. References. Author Index. Subject Index.

Perguntar à IA

Bookmark

View Full Paper