Joint modeling of live-recapture, tag-resight, and tag-recovery data
Joint modeling of live-recapture, tag-resight, and tag-recovery data
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DOI：
10.2307/2533966
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发表时间：
1997-06-01
期刊：
影响因子：
1.9
通讯作者：
Barker, RJ
中科院分区：
文献类型：
--
作者：
Barker, RJ
我们提出了一个模型，用于标记-再捕获实验，该实验从被标记动物的捕获期间之间的任何时间和整个动物的地理范围内获得重新观察。描述了动物进出捕获点的随机运动的可能性，并报告了闭合形式的最大似然估计器。我们证明了该估计等价于Jolly(1965，Biomekika 52,239)提出的估计量，但仅在随机移民假设下有效。该模型为大多数广泛使用的标记重捕获模型提供了一个通用框架，包括实时重捕获、标签恢复和标签重视模型，并允许同时分析以所有三种方式获得的数据。
We propose a model for a mark-recapture experiment with resightings obtained from marked animals any time between capture periods and throughout the geographic range of the animals. The likelihood is described for random movement of animals in and out of the capture site, and closed-form maximum likelihood estimators are reported. We show that the estimator is equivalent to that suggested by Jolly (1965, Biomekika 52, 239) but is only valid under the random emigration assumption. The model provides a common framework for most of the widely used mark-recapture models including live-recapture, tag-recovery, and tag-resight models and allows simultaneous analysis of data obtained in all three ways.