Please use this identifier to cite or link to this item: http://cimat.repositorioinstitucional.mx/jspui/handle/1008/655
Noncentral Matrix Variate Beta Distribution
JOSE ANTONIO DIAZ GARCIA
Acceso Abierto
Atribución-NoComercial
Teoría de la Distribución
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).
Centro de Investigación en Matemáticas AC
14-03-2006
Reporte
Inglés
Investigadores
TEORÍA DE LA DISTRIBUCIÓN Y PROBABILIDAD
Versión publicada
publishedVersion - Versión publicada
Appears in Collections:Reportes Técnicos - Probabilidad y Estadística

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