Departamento de Estatística, Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, Brazil.
Instituto Oceanográfico, Universidade de São Paulo, São Paulo, Brazil.
Mar Pollut Bull. 2015 Feb 15;91(1):280-7. doi: 10.1016/j.marpolbul.2014.11.030. Epub 2014 Dec 12.
Ballast water sampling is one of the problems still needing investigation in order to enforce the D-2 Regulation of the International Convention for the Control and Management of Ship Ballast Water and Sediments. Although statistical "representativeness" of the sample is an issue usually discussed in the literature, neither a definition nor a clear description of its implications are presented. In this context, we relate it to the heterogeneity of the distribution of organisms in ballast water and show how to specify compliance tests under different models based on the Poisson and negative binomial distributions. We provide algorithms to obtain minimum sample volumes required to satisfy fixed limits on the probabilities of Type I and II errors. We show that when the sample consists of a large number of aliquots, the Poisson model may be employed even under moderate heterogeneity of the distribution of the organisms in the ballast water tank.
压载水取样是为了执行《国际船舶压载水和沉积物控制和管理公约》D-2 法规仍需调查的问题之一。尽管样本的统计“代表性”是文献中经常讨论的问题,但既没有给出定义,也没有清楚地说明其含义。在这种情况下,我们将其与压载水中生物分布的异质性联系起来,并展示如何根据泊松分布和负二项分布为不同模型指定合规性测试。我们提供了获取满足 I 型和 II 型错误概率固定限制所需的最小样本量的算法。我们表明,当样本由大量等分试样组成时,即使在压载水舱中生物分布的中等异质性下,也可以采用泊松模型。