Presents a system of multivariate analysis techniques in cases where statistical data may be of different measurement levels such as nominal, ordinal or interval. It covers methods of studying the stability of these techniques, including resampling by the bootstrap and jackknife and discusses sensitivity analysis through first-order approximations.
Inhaltsverzeichnis
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 FuturePrograms.
Multidimensional Scaling and Correspondence Analysis.
Models as Gauges for the Analysis of Binary Data.
Reflections on Restrictions.
Nonlinear Multivariate Analysis: Principles andPossibilities.
The Study of Stability.
The Proof of the Pudding.
Appendices.
References.
Author Index.
Subject Index.
