Ordinal Multivariate Analysis

Nijkamp, P. & Rietveld, P. (1981). Ordinal Multivariate Analysis. IIASA Professional Paper. IIASA, Laxenburg, Austria: PP-81-002

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Abstract

The essential feature of multivariate methods is that they aim at reducing the complexity of phenomena in which many variables or attributes are involved. Given this general feature , it is no surprise to see that these methods have been applied in various fields of research, such as economics, geography, medicine, biology, etc.

This paper will be devoted to the development of some methods for ordinally measurable data and its implications for regional statistical and econometric analyses. We will deal with the following methods: multiple regression analysis (and related subjects such as interdependence analysis and discriminant analysis); clustering and classification; principal component analysis (and related subjects such as canonical correlations and partial least squares).

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