A unified approach for the multivariate analysis of contingency tables
We present a unified approach to describing and linking several methods for representing categorical data in a contingency table. These methods include: correspondence analysis, Hellinger distance analysis, the log-ratio alternative, which is appropriate for compositional data, and the non-symmetric...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/149281 |
| Acceso en línea: | https://hdl.handle.net/2445/149281 |
| Access Level: | acceso abierto |
| Palabra clave: | Anàlisi multivariable Anàlisi de correspondències (Estadística) Multivariate analysis Correspondence analysis (Statistics) |
| Sumario: | We present a unified approach to describing and linking several methods for representing categorical data in a contingency table. These methods include: correspondence analysis, Hellinger distance analysis, the log-ratio alternative, which is appropriate for compositional data, and the non-symmetrical correspondence analysis. We also present two solutions working with ummulative frequencies. |
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