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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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| Pubblicato in: | Commun Stat Simul Comput |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | 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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