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Application of local influence diagnostics to the Buckley-James model


Aziz, Nazrina and Dong, Qian Wang (2010) Application of local influence diagnostics to the Buckley-James model. In: 19th International Conference on Computational Statistics, Paris France, August 22-27, 2010. Physica Verlag Heidelberg, pp. 381-388. ISBN 978-3-7908-2603-6

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Abstract

This article reports the development of local influence diagnostics of Buckley-James model consisting of variance perturbation, response variable perturbation and independent variables perturbation. The proposed diagnostics improves the previous ones by taking into account both censored and uncensored data to have a possibility to become an influential observation. Note that, in the previous diagnostics of Buckley-James model, influential observations merely come from uncensored observations in the data set. An example based on the Stanford heart transplant data is used for illustration. The data set with three covariates is considered in an attempt to show how the proposed diagnostics is able to handle more than one covariate, which is a concern to us as it is more difficult to identify peculiar observations in a multiple covariates.

Item Type: Book Section
Additional Information: Organized by the CNAM (Conservatoire National des Arts et Métiers) with the support of INRIA, the french National Institute for research in computer science and control
Uncontrolled Keywords: Buckley-Jarnes model, censored data, diagnostic analysis, local influence, product-limit estimator
Subjects: Q Science > QA Mathematics
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 01 Dec 2010 03:00
Last Modified: 01 Dec 2010 03:00
URI: http://repo.uum.edu.my/id/eprint/1688

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