Cramér‐von Mises statistics for discrete distributions with unknown parameters
Abstract
enChoulakian, Lockhart & Stephens (1994) proposed Cramér‐von Mises statistics for testing fit to a fully specified discrete distribution. The authors give slightly modified definitions for these statistics and determine their asymptotic behaviour in the case when unknown parameters in the distribution must be estimated from the sample data. They also present two examples of applications.
Abstract
frStatistiques de Cramér‐von Mises pour des lois discrètes dont les paramètres sont inconnus
Choulakian, Lockhart & Stephens (1994) ont proposé des statistiques de Cramér‐von Mises permettant de tester l'adéquation d'une loi discrète complètement spécifiée. Les auteurs donnent des définitions légèrement modifiées de ces statistiques et en déterminent le comportement asymptotique dans le cas oú certains paramètres de la loi doivent être estimés à partir de données. Ils présentent en outre deux exemples d'application.
Citing Literature
Number of times cited according to CrossRef: 11
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