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首页> 外文期刊>Journal of statistical computation and simulation >A case study of green tree frog population size estimation by repeated capture-mark-recapture method with individual tagging: a parametric bootstrap method vs Jolly-Seber method
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A case study of green tree frog population size estimation by repeated capture-mark-recapture method with individual tagging: a parametric bootstrap method vs Jolly-Seber method

机译：带有单独标签的重复捕获标记捕获方法估计绿蛙种群数量的案例研究：参数自举方法与Jolly-Seber方法

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This paper deals with estimation of a green tree frog population in an urban setting using repeated capture-mark-recapture (CMR) method over several weeks with an individual tagging system which gives rise to a complicated generalization of the hypergeometric distribution. Based on the maximum likelihood estimation, a parametric bootstrap approach is adopted to obtain interval estimates of the weekly population size which is the main objective of our work. The method is computation-based; and programming intensive to implement the algorithm for re-sampling. This method can be applied to estimate the population size of any species based on repeated CMR method at multiple time points. Further, it has been pointed out that the well-known Jolly-Seber method, which is based on some strong assumptions, produces either unrealistic estimates, or may have situations where its assumptions are not valid for our observed data set.
机译：本文使用一个单独的标记系统，在数周内使用重复捕获标记捕获（CMR）方法，对城市环境中的绿蛙种群数量进行估算，这导致了超几何分布的复杂概括。基于最大似然估计，采用参数自举方法来获取每周人口规模的区间估计，这是我们工作的主要目标。该方法基于计算；并且需要大量编程才能实现算法以进行重新采样。该方法可用于基于多个时间点的重复CMR方法估计任何物种的种群大小。此外，已经指出，众所周知的Jolly-Seber方法基于一些强有力的假设，会产生不切实际的估计，或者可能存在其假设对我们观察到的数据集无效的情况。

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