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An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data
Overdispersion is a problem encountered in the analysis of count data that can lead to invalid inference if unaddressed. Decision about whether data are overdispersed is often reached by checking whether the ratio of the Pearson chi-square statistic to its degrees of freedom is greater than one; how...
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| Опубликовано в: : | Commun Stat Simul Comput |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6290908/ https://ncbi.nlm.nih.gov/pubmed/30555205 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2017.1323223 |
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