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.
Correspondence Analysis for doubly cumulative contingency table / D'Ambra, Luigi; Camminatiello, Ida. - (2010). (Intervento presentato al convegno Metodi, Modelli e Tecnologie dell'Informazione a Supporto delle Decisioni MTISD 2010 tenutosi a Pescara nel 12-15 settembre).
Correspondence Analysis for doubly cumulative contingency table.
D'AMBRA, LUIGI;CAMMINATIELLO, Ida
2010
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
