Problems involving dependent pairs of random variables usually involve two aspects: tests of independence or estimation of measures of association. In order to find out which way best explains the data, this paper addresses Regression Analysis applied to Correspondence Analysis (CA). It also uses Agglomerative Hierarchical Clustering as a method to accompany Multiple Correspondence Analysis (MCA). A well known data set is analyzed. Keywords: Complete Disjunctive Table, Burt Matrix, Regression Table, Multiple Correspondence Analysis, Agglomerative Hierarchical Clustering.
A integrated approach to Regression Analysis using Correspondence Analysis and cluster analysis / J., De Tibeiro; D'Ambra, Luigi. - In: STATISTICA & APPLICAZIONI. - ISSN 1824-6672. - STAMPA. - 8:1(2010), pp. 27-56.
A integrated approach to Regression Analysis using Correspondence Analysis and cluster analysis.
D'AMBRA, LUIGI
2010
Abstract
Problems involving dependent pairs of random variables usually involve two aspects: tests of independence or estimation of measures of association. In order to find out which way best explains the data, this paper addresses Regression Analysis applied to Correspondence Analysis (CA). It also uses Agglomerative Hierarchical Clustering as a method to accompany Multiple Correspondence Analysis (MCA). A well known data set is analyzed. Keywords: Complete Disjunctive Table, Burt Matrix, Regression Table, Multiple Correspondence Analysis, Agglomerative Hierarchical Clustering.| File | Dimensione | Formato | |
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