Correspondence Analysis with Linear Constraints of Ordinal Cross-Classifications
- Antonello D’Ambra
- Pietro Amenta
DOIAbstract
Correspondence analysis, Ordinal correspondence analysis, Linear constraints, External information, Orthogonal polynomials,
Correspondence analysis, Ordinal correspondence analysis, Linear constraints, External information, Orthogonal polynomials,
EnTraditionally multiple correspondence analysis involves transforming a contingency table to its in...
Correspondence analysis is a popular graphical tool used to analyse contingency tables. In the past,...
The Multiple Non-symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two...
Within the context of the non-iterative procedures for performing correspondence analysis with line...
Moving from Böckenholt and Böckenholt (1990) non-iterative procedure for performing correspondence a...
In situations where the structure of one of the variables of a contingency table is ordered recent t...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
In the framework of the Multidimensional Data Analysis, Lauro and D’Ambra (1984) developed "Non Symm...
Abstract. An alternative approach to classical correspondence analysis was developed in [3] and invo...
Non-symmetrical correspondence analysis (NSCA) is a useful tool for graphically detecting the asymme...
AbstractWe develop canonical correlation analysis by imposing linear constraints upon parameters cor...
Taguchi's statistic has long been known to be a more appropriate measure of association the dependen...
Non-symmetrical correspondence analysis (NSCA) is a useful tool for graphically detecting the asymme...
Several extensions of correspondence analysis have been introduced in literature coping with the pos...
Traditionally multiple correspondence analysis involves transforming a contingency table to its indi...
EnTraditionally multiple correspondence analysis involves transforming a contingency table to its in...
Correspondence analysis is a popular graphical tool used to analyse contingency tables. In the past,...
The Multiple Non-symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two...
Within the context of the non-iterative procedures for performing correspondence analysis with line...
Moving from Böckenholt and Böckenholt (1990) non-iterative procedure for performing correspondence a...
In situations where the structure of one of the variables of a contingency table is ordered recent t...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
In the framework of the Multidimensional Data Analysis, Lauro and D’Ambra (1984) developed "Non Symm...
Abstract. An alternative approach to classical correspondence analysis was developed in [3] and invo...
Non-symmetrical correspondence analysis (NSCA) is a useful tool for graphically detecting the asymme...
AbstractWe develop canonical correlation analysis by imposing linear constraints upon parameters cor...
Taguchi's statistic has long been known to be a more appropriate measure of association the dependen...
Non-symmetrical correspondence analysis (NSCA) is a useful tool for graphically detecting the asymme...
Several extensions of correspondence analysis have been introduced in literature coping with the pos...
Traditionally multiple correspondence analysis involves transforming a contingency table to its indi...
EnTraditionally multiple correspondence analysis involves transforming a contingency table to its in...
Correspondence analysis is a popular graphical tool used to analyse contingency tables. In the past,...
The Multiple Non-symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two...
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