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- W1978390989 abstract "The authors study the problem of checking the adequacy of a parametric model for a distribution using several possibly censored weight biased samples. They discuss identifiability problems related to the underlying distribution and the distributions of the biased samples. They propose a test statistic based on the supremum of the weighted aggregated martingale residual processes from a number of such samples. Both numerical and graphical procedures are discussed, which the authors apply to do model checking for oil exploration drilling data. Vérification de I'adéquation de modèles paramétriques à partir d' échantillons biaisés Les auteurs s' interrogent sur la façon de vérifier 1' adéquation d' un modèle de loi paramétri-que au moyen de données sujettes à des biais d' échantillonnage et à la censure. Ils traitent des problèmes d' identifiabilité liés à la loi sous-jacente et à celles des échantillons biaisés. Ils proposent un test fondé sur le supremum des processus de martingale agrégés pondérés résiduels d' un certain nombre de tels échantillons. Des procédures numériques et graphiques sont décrites, que les auteurs illustrent en vérifiant 1' adéquation d' un modèle pour des données de forage recueillies à des fins d' exploration pétrolière." @default.
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- W1978390989 date "2002-09-01" @default.
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- W1978390989 title "Goodness-of-fit tests for parametric models based on biased samples" @default.
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- W1978390989 doi "https://doi.org/10.2307/3316149" @default.
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