Noncentral Matrix Variate Beta Distribution
Central and noncentral matrix variate beta type I and II distributions have been studied by diÆerent authors utilising diverse approaches, see Olkin and Rubin (1964), Khatri (1970), Muirhead (1982), Cadet (1996), Gupta and Na- gar (2000), D∂≥az-Garc∂≥a and Guti∂errez-J∂aimez (2001), among many other...
| Autor: | |
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| Tipo de recurso: | informe técnico |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | México |
| Institución: | Centro de Investigación en Matemáticas |
| Repositorio: | Repositorio Institucional CIMAT |
| Idioma: | inglés |
| OAI Identifier: | oai:cimat.repositorioinstitucional.mx:1008/655 |
| Acceso en línea: | http://cimat.repositorioinstitucional.mx/jspui/handle/1008/655 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/MSC/Teoría de la Distribución info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/12 info:eu-repo/classification/cti/1209 info:eu-repo/classification/cti/120907 |
| Sumario: | Central and noncentral matrix variate beta type I and II distributions have been studied by diÆerent authors utilising diverse approaches, see Olkin and Rubin (1964), Khatri (1970), Muirhead (1982), Cadet (1996), Gupta and Na- gar (2000), D∂≥az-Garc∂≥a and Guti∂errez-J∂aimez (2001), among many others. These distributions play a very important role in various problems for proving hypotheses in the context of multivariate analysis, including canonical corre- lation analysis, the general linear hypothesis in MANOVA and the multiple matrix variate correlation analysis, see Muirhead (1982), Rao (1973), Srivas- tava (1968) and Kshirsagar (1961). Similarly, beta noncentral distributions are to be found in the context of shape theory, see Goodall and Mardia (1993). |
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