wepidemics
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title of the paper: Maximum Likelihood Estimation of the Negative Binomial Dispersion Parameter for Highly Overdispersed Data, with Applications to Infectious Diseases
doi: 10.1371/journal.pone.0000180
keywords: overdispersion, estimation, maximum likelihood, bias
Parameters: dispersion
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From the paper:
“The negative binomial distribution is used commonly throughout biology as a model for overdispersed count data, with attention focused on the negative binomial dispersion parameter, k. This article presents a simulation study exploring the bias, precision, and confidence interval coverage of maximum-likelihood estimates of k from highly overdispersed distributions.”
original entry: https://github.com/UT-IDDynamics/wepidemics/blob/main/data/overdispersed.md