A dissimilarity based on relevant population features
In this paper a dissimilarity index between statistical populations is pro-posed without the hypothesis of a specific statistical model. We assume that the studied populations differ on some relevant features which are measured trough convenient parameters of interest. We assume also that we dispose...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2013 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/95832 |
| Acesso em linha: | https://hdl.handle.net/2445/95832 |
| Access Level: | acceso abierto |
| Palavra-chave: | Anàlisi espacial (Estadística) Variables aleatòries Spatial analysis (Statistics) Random variables |
| Resumo: | In this paper a dissimilarity index between statistical populations is pro-posed without the hypothesis of a specific statistical model. We assume that the studied populations differ on some relevant features which are measured trough convenient parameters of interest. We assume also that we dispose of adequate estimators for these parameters. To measure the differences be-tween populations with respect the parameters of interest, we construct an index inspired on some properties of the information metric which are also presented. Additionally, we consider several examples and compare the ob-tained dissimilarity index with some other distances, like Mahalanobis or Siegel distances. |
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