Non-parametric Quantile Regression with Censored Data
Censored regression models have received a great deal of attention in both the theoretical and applied statistics literature. Here, we consider a model in which the response variable is censored but not the covariates. We propose a new estimator of the conditional quantiles based on the local linear method, and give an algorithm for its numerical implementation. We study its asymptotic properties and evaluate its performance on simulated data sets. Copyright 2005 Board of the Foundation of the Scandinavian Journal of Statistics..
Year of publication: |
2005
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Authors: | GANNOUN, ALI ; SARACCO, JÉRÔME ; YUAN, AO ; BONNEY, GEORGE E. |
Published in: |
Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 32.2005, 4, p. 527-550
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Publisher: |
Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association |
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