Multistate capture–recapture models are a useful tool to help to understand the dynamics of movement within discrete capture–recapture data. The standard multistate capture–recapture model, however, relies on assumptions of homogeneity within the population with respect to survival, capture and transition probabilities. There are many ways in which this model can be generalized so some guidance on what is really needed is highly desirable. Within the paper we derive a new test that can detect heterogeneity in transition propensity and show its good power by using simulation and application to a Canada goose data set. We also demonstrate that existing tests which have traditionally been used to diagnose memory are in fact sensitive to other forms of transition heterogeneity and we propose modified tests which can distinguish between memory and other forms of transition heterogeneity.

中文翻译：

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评估多状态捕获-捕获数据中过渡倾向的异质性

多状态捕获-捕获模型是一个有用的工具，可帮助您了解离散捕获-捕获数据中的运动动态。但是，标准的多州捕获-再捕获模型依赖于人口中关于生存，捕获和转移概率的同质性假设。有很多方法可以推广此模型，因此非常需要有关实际需要的指导。在本文中，我们得出了一个新的测试，该测试可以通过使用模拟和对加拿大鹅数据集的应用来检测过渡倾向中的异质性并显示其良好的能力。