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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432836/ https://www.ncbi.nlm.nih.gov/pubmed/34506518 http://dx.doi.org/10.1371/journal.pone.0256499 |