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A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic SimulationGeneralized Anderson-Darling Test

A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic... [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic SimulationGeneralized Anderson-Darling Test

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Publisher
Springer Fachmedien Wiesbaden
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021
ISBN
978-3-658-34329-3
Pages
29 –39
DOI
10.1007/978-3-658-34330-9_3
Publisher site
See Chapter on Publisher Site

Abstract

[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.]

Published: Jul 1, 2021

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