Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the identification of the structure of association between asymmetrically related categorical variables forming a contingency table. This paper considers some tools that can be used to numerically and graphically explore in detail the association between these variables and include the use of confidence regions, the establishment of the link between NSCA and the analysis of variance of categorical variables, and effect of imposing linear constraints on a variable.
Some Interpretative Tools for Non-Symmetrical Correspondence Analysis / E., B., D'Ambra, L.. - In: JOURNAL OF CLASSIFICATION. - ISSN 0176-4268. - STAMPA. - 26:1(2009), pp. 1-25.
Some Interpretative Tools for Non-Symmetrical Correspondence Analysis.
D'AMBRA, LUIGI
2009
Abstract
Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the identification of the structure of association between asymmetrically related categorical variables forming a contingency table. This paper considers some tools that can be used to numerically and graphically explore in detail the association between these variables and include the use of confidence regions, the establishment of the link between NSCA and the analysis of variance of categorical variables, and effect of imposing linear constraints on a variable.| File | Dimensione | Formato | |
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