General projection-pursuit estimators for the common principal components model: Influence functions and Monte Carlo study

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The common principal components (CPC) model for several groups of multivariate observations assumes equal principal axes but possibly different variances along these axes among the groups. Under a CPCs model, generalized projection-pursuit estimators are defined by using score functions on the dispe...

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Detalles Bibliográficos
Autores principales: Boente, G., Pires, A.M., Rodrigues, I.M.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2006
Materias:
Asymptotic variances
Common principal components
Partial influence function
Projection-pursuit
Robust estimation
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0047259X_v97_n1_p124_Boente
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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