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一种用于对封闭种群的捕获-再捕获数据进行建模的通用理论。

A general theory for modeling capture-recapture data from a closed population.

作者信息

Evans M A, Bonett D G, McDonald L L

机构信息

Washington State University, Pullman 99164-3144.

出版信息

Biometrics. 1994 Jun;50(2):396-405.

PMID:8068840
Abstract

A general theory for estimating the size of a closed population from multiple-recapture data is presented. This theory is easily extended to open population models for multiple-recapture data. Estimation is based on a log-linear model developed for modeling dependent capture-recapture data when capture probabilities vary temporally with behavioral response and are heterogeneous among animals. Models for complete capture history data are developed along with the first log-linear models for removal data. The maximum likelihood estimator of the model parameters along with the estimated covariance matrix are presented.

摘要

本文提出了一种根据多次捕获数据估计封闭种群规模的通用理论。该理论可轻松扩展到用于多次捕获数据的开放种群模型。估计基于一个对数线性模型,该模型用于对依赖的捕获 - 再捕获数据进行建模,其中捕获概率会随行为反应随时间变化且在动物之间存在异质性。同时开发了完整捕获历史数据的模型以及用于去除数据的首个对数线性模型。给出了模型参数的最大似然估计器以及估计的协方差矩阵。

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