Abstract With the possibility of dependence between the sources in a capture-recapture type experiment, identification of the direction of such dependence in dual system of data collection is vital. This has a wide range of applications, including in the domains of public health, official statistics and social sciences. Owing to the insufficiency of data for analyzing a behavioral dependence model in dual system, our contribution lies in the construction of several strategies that can identify the direction of underlying dependence between the two lists in the dual system, that is, whether the two lists are positively or negatively dependent. Our proposed classification strategies would be quite appealing for improving the inference as evident from recent literature. Simulation studies are carried out to explore the comparative performance of the proposed strategies. Finally, applications on three real data sets from various fields are illustrated.

中文翻译：

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在两次样本捕获-捕获研究中确定行为依赖的方向

摘要在捕获-捕获类型实验中，由于可能存在源之间的依赖性，因此在双重数据收集系统中确定这种依赖性的方向至关重要。这具有广泛的应用，包括在公共卫生，官方统计和社会科学领域。由于没有足够的数据来分析对偶系统中行为依赖模型的数据，我们的贡献在于构建了几种策略，这些策略可以确定对偶系统中两个列表之间潜在依赖的方向，即两个列表是否为正向或负向依赖。从最近的文献中可以明显看出，我们提出的分类策略对于改进推理非常有吸引力。进行仿真研究以探索所提出策略的比较性能。最后，说明了来自各个领域的三个真实数据集的应用。