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Rosaria Lombardo on Muck Rack

Rosaria Lombardo

As seen in: Wiley Online Library, MDPI, Taylor & Francis Online, International Journal of Manpower
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Articles

A general similarity measure for simple correspondence analysis

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By Eric J. Beh, Rosaria Lombardo
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom.
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Mathematics | Free Full-Text | Testing and Visualization of Associations in Three-Way Contingency Tables: A Study of the Gender Gap in Patients with Type 1 Diabetes and Cardiovascular Complications

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By Rosaria Lombardo, Eric J. Beh, Francesco Prattichizzo, Giuseppe Lucisano
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Correspondence Analysis for Assessing Departures from Perfect Symmetry Using the Cressie-Read Family of Divergence Statistics

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By Eric J. Beh, Rosaria Lombardo
| MDPI
1. Introduction The correspondence analysis of a two-way contingency table, denoted here by N, formed from the cross-classification of two categorical variables has a long history; see, for example, Beh and Lombardo [1], Greenacre [2] and Lebart, Morineau and Warwick [3].
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