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Robust versus Non Parametric Approaches and Survival Data Analysis

Abstract : Abstract There are famous examples of acute sensitivity of optimal parametric procedures to a slight discrepancy from the assumed model. The non parametric approach may also suffer from this kind of deficiency, so that robust procedures (for test and estimation) which are optimal in a neighborhood of a parametric model are to be preferred. This general concept is applied here to survival data analysis.
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Conference papers
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Contributor : Catherine Huber Connect in order to contact the contributor
Submitted on : Thursday, February 2, 2017 - 3:00:35 PM
Last modification on : Saturday, June 25, 2022 - 8:58:50 PM


  • HAL Id : hal-01453057, version 1



Catherine Huber-Carol. Robust versus Non Parametric Approaches and Survival Data Analysis. CSAA 2014 International Conference on Statistics and Advanced Applications, Nov 2014, Constantine, Algeria. ⟨hal-01453057⟩



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