DOIAbstract
CATANOVA, Confidence circles, Goodman-Kruskal tau index, Linear constraints, Non-symmetrical correspondence analysis,
CATANOVA, Confidence circles, Goodman-Kruskal tau index, Linear constraints, Non-symmetrical correspondence analysis,
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Non Symmetrical Correspondence Analysis (NSCA, 1989) is a well-known technique that allows us to di...
Traditionally multiple correspondence analysis involves transforming a contingency table to its indi...
Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the ide...
Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the ide...
Correspondence analysis does not fit well categorical data if a symmetrical relationship cannot be a...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
Non-Symmetric Correspondence Analysis-NSCA (D’Ambra and Lauro, 1989) is a useful technique for analy...
In the framework of the Multidimensional Data Analysis, Lauro and D’Ambra (1984) developed "Non Symm...
In this article a case is made for using nonsymmetric correspondence analysis to evaluate contingenc...
Abstract. An alternative approach to classical correspondence analysis was developed in [3] and invo...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
The purpose of this monograph is to provide a nontechnical introduction to Multiple Correspondence A...
EnTraditionally multiple correspondence analysis involves transforming a contingency table to its in...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Non Symmetrical Correspondence Analysis (NSCA, 1989) is a well-known technique that allows us to di...
Traditionally multiple correspondence analysis involves transforming a contingency table to its indi...
Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the ide...
Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the ide...
Correspondence analysis does not fit well categorical data if a symmetrical relationship cannot be a...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
Non-Symmetric Correspondence Analysis-NSCA (D’Ambra and Lauro, 1989) is a useful technique for analy...
In the framework of the Multidimensional Data Analysis, Lauro and D’Ambra (1984) developed "Non Symm...
In this article a case is made for using nonsymmetric correspondence analysis to evaluate contingenc...
Abstract. An alternative approach to classical correspondence analysis was developed in [3] and invo...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
The purpose of this monograph is to provide a nontechnical introduction to Multiple Correspondence A...
EnTraditionally multiple correspondence analysis involves transforming a contingency table to its in...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Non Symmetrical Correspondence Analysis (NSCA, 1989) is a well-known technique that allows us to di...
Traditionally multiple correspondence analysis involves transforming a contingency table to its indi...
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