The Bayesian β-binomial model to improve the inference based on the results of sampling plans: the case study of the biotoxin monitoring plan of Chamelea gallina natural beds
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Sampling is a cornerstone of food safety monitoring, yet traditional frequentist approaches can yield unreliable inferences in the presence of rare or absent events, particularly when maximum likelihood estimates lie on the boundary of the parameter space and ... ...
