Sample size for estimating organism concentration in ballast water: a Bayesian approach

DOI10.1214/20-BJPS470zbMath1472.92250OpenAlexW3118731468WikidataQ110760404 ScholiaQ110760404MaRDI QIDQ2233647

Eliardo G. Costa, Julio da Motta Singer, Carlos Daniel M. Paulino

Publication date: 11 October 2021

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-bjps470

zbMATH Keywords

average coverage criterionaverage length criterionnegative binomial/Pearson type VI distributionPoisson/gamma distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Ecology (92D40)

Related Items (2)

Optimal sample size for estimating the mean concentration of invasive organisms in ballast water via a semiparametric Bayesian analysis ⋮ Unnamed Item

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Cites Work

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• A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
• Bayesian sample size determination for binomial proportions
• Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control
• Bayesian Sample Size Determination for Estimating Binomial Parameters from Data Subject to Misclassification
• Bayesian Sample Size Determination for Case-Control Studies

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