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.
Type de document :
Communication dans un congrès
CSAA 2014 International Conference on Statistics and Advanced Applications, Nov 2014, Constantine, Algeria. 10 (1), 2015, Afrika Statistika. <http://projecteuclid.org/euclid.as/1447439362/>
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https://hal-descartes.archives-ouvertes.fr/hal-01453057
Contributeur : Catherine Huber <>
Soumis le : jeudi 2 février 2017 - 15:00:35
Dernière modification le : vendredi 3 février 2017 - 12:49:58

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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. 10 (1), 2015, Afrika Statistika. <http://projecteuclid.org/euclid.as/1447439362/>. <hal-01453057>

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