2021 | OriginalPaper | Buchkapitel
Generalized Anderson-Darling Test
verfasst von : Marcel Berlinger
Erschienen in: A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation
Verlag: Springer Fachmedien Wiesbaden
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The quality of a modeled distribution function for describing the distribution of a set of random variables is evaluated in statistical hypothesis testing. A null hypothesis H0 is assumed, which claims the sample and the fitted probability distribution to have the same population [8]. Thereby, two errors can be made. A type I error, which is the rejection of a true null hypothesis, and a type II error, which is the non-rejection of a false null hypothesis.