Testing for goodness rather than lack of fit of continuous probability distributions.

The vast majority of testing procedures presented in the literature as goodness-of-fit tests fail to accomplish what the term is promising. Actually, a significant result of such a test indicates that the true distribution underlying the data differs substantially from the assumed model, whereas the...

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Autor principal: Stefan Wellek
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/b218af1823904cb2b1d4a6711f5b260a
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