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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Contributeur : Catherine Huber <>
Soumis le : jeudi 2 février 2017 - 15:00:35
Dernière modification le : vendredi 20 septembre 2019 - 16:34:03

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  • HAL Id : hal-01453057, version 1

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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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