Since its publication in 2004, the Stephens-MacCall method has been widely used as an objective approach to select a subset of fisher-reported trip catch and effort data relevant to a given analysis. This paper demonstrates the undesired effects of using a classification cutoff threshold as originally proposed and offers a weighting alternative which makes use of complete information in the dataset and fitted model. Simple spatiotemporal additions to the original model resulting in improved predictive performance are also presented. These modifications are illustrated with application to commercial red snapper reported in the U.S. South Atlantic and Gulf of Mexico.

自 2004 年发布以来，Stephens-MacCall 方法已被广泛用作一种客观方法，用于选择与给定分析相关的渔民报告的航次捕获量和努力量数据的子集。本文展示了使用最初提出的分类截止阈值的不良影响，并提供了一种利用数据集和拟合模型中的完整信息的加权替代方案。还介绍了对原始模型的简单时空添加，从而提高了预测性能。这些修改通过应用于美国南大西洋和墨西哥湾报道的商业红鲷鱼来说明。