Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2021

Verifying compliance with ballast water standards: a decision-theoretic approach

  • Identification data

    Identifier: RP:4687
    Handle: https://hdl.handle.net/20.500.11797/RP4687
    Authors:
    Singer, Julio MPaulino, Carlos DanielCosta, Eliardo G.
    Abstract:
    We construct credible intervals to estimate the mean organism (zooplankton and phytoplankton) concentration in ballast water via a decision-theoretic approach. To obtain the required optimal sample size, we use a total cost minimization criterion defined as the sum of the sampling cost and the Bayes risk either under a Poisson or a negative binomial model for organism counts, both with a gamma prior distribution. Such credible intervals may be employed to verify whether the ballast water discharged from a ship is in compliance with international standards. We also conduct a simulation study to evaluate the credible interval lengths associated with the proposed optimal sample sizes.

  • Others:

    Author, as appears in the article.: Singer, Julio M Paulino, Carlos Daniel Costa, Eliardo G.
    Keywords: Optimal sample size
    Abstract: We construct credible intervals to estimate the mean organism (zooplankton and phytoplankton) concentration in ballast water via a decision-theoretic approach. To obtain the required optimal sample size, we use a total cost minimization criterion defined as the sum of the sampling cost and the Bayes risk either under a Poisson or a negative binomial model for organism counts, both with a gamma prior distribution. Such credible intervals may be employed to verify whether the ballast water discharged from a ship is in compliance with international standards. We also conduct a simulation study to evaluate the credible interval lengths associated with the proposed optimal sample sizes.
    Journal publication year: 2021
    Publication Type: ##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article