A suitable measure of association for two ordered variables is the doubly cumulative chi-squared statistic (Hirotsu, 1994). This statistic is obtained by considering the cumulative sum of cell frequencies across the variables. In this paper we explore the development of correspondence analysis which takes into account the presence of two ordered variables by partitioning the doubly cumulative chi-squared statistic

Cumulative Correspondence Analysis of Two-Way Ordinal Contingency Tables / D'Ambra, Luigi; E. J., Beh; Camminatiello, Ida. - In: COMMUNICATIONS IN STATISTICS. THEORY AND METHODS. - ISSN 0361-0926. - 43:6(2014), pp. 1099-1113. [10.1080/03610926.2012.670356]

Cumulative Correspondence Analysis of Two-Way Ordinal Contingency Tables.

D'AMBRA, LUIGI;CAMMINATIELLO, Ida
2014

Abstract

A suitable measure of association for two ordered variables is the doubly cumulative chi-squared statistic (Hirotsu, 1994). This statistic is obtained by considering the cumulative sum of cell frequencies across the variables. In this paper we explore the development of correspondence analysis which takes into account the presence of two ordered variables by partitioning the doubly cumulative chi-squared statistic
2014
Cumulative Correspondence Analysis of Two-Way Ordinal Contingency Tables / D'Ambra, Luigi; E. J., Beh; Camminatiello, Ida. - In: COMMUNICATIONS IN STATISTICS. THEORY AND METHODS. - ISSN 0361-0926. - 43:6(2014), pp. 1099-1113. [10.1080/03610926.2012.670356]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/489256
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