General projection-pursuit estimators for the common principal components model: influence functions and Monte Carlo study-Reference-Cited by-同舟云学术

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

Published:2006-01 Issue:1 Volume:97 Page:124-147
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Boente Graciela,Pires Ana M.,Rodrigues Isabel M.

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference15 articles.

1. J.R. Berrendero, Contribuciones a la teoría de la robustez respecto al sesgo, Unpublished Ph.D. Thesis, Universidad Carlos III de Madrid, 1996 (in Spanish).

2. G. Boente, F. Critchley, L. Orellana, Influence functions for robust estimators under proportional scatter matrices, Working paper, Universidad de Buenos Aires.

3. A robust approach to common principal components;Boente,2001

4. Influence functions and outlier detection under the common principal components model;Boente;Biometrika,2002

5. Efficient high-breakdown M-estimators of scale;Croux;Statist. Probab. Lett.,1994

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