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A graphical user interface (GUI) input-based algorithm to automate generation of multi-state models for release-recapture studies.

机译:一种基于图形用户界面(GUI)输入的算法,可以自动生成用于发布捕获研究的多状态模型。

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摘要

Release-recapture studies represent an important branch of population analysis and are the primary method used to investigate population survival and migration. As researchers seek to answer more detailed questions about the populations under study, and as the study designs themselves become increasingly complex, the models necessary to estimate survival and migration parameters must increase in complexity as well. Multi-state models are widely used for this purpose since they can accommodate multi-dimensional study designs and have a flexible parameterization. Model specification of a multi-state model for a complex release-recapture study design is far from trivial, and requires a thorough statistical understanding of these types of models. Additionally, multi-state models require specification of all possible capture histories for the study design in question. This task can be daunting when done manually as possible capture histories for some release-recapture studies can number in the tens of thousands.;This thesis describes the creation and implementation of a computer program (Program BRANCH) capable of multi-state model specification and parameter estimation for complex release-recapture studies. The program is divided into three main elements: (1) Allow the user to draw a study design diagram on the screen as input, specifying releases and recapture opportunities and the structure of survival and migration routes through the study, (2) translate the study design diagram into a multi-state model specified by a product-multinomial conditional likelihood equation, and (3) provide estimates and standard errors for biologically meaningful migration and survival parameters from study data. The construction of Program BRANCH is developed from digraph and maximum likelihood theory and is illustrated using five diverse release-recapture studies as test cases.
机译:释放捕获研究是人口分析的重要分支,是调查人口生存和迁移的主要方法。随着研究人员寻求回答有关所研究人群的更多详细问题,并且随着研究设计本身变得越来越复杂,估计生存和迁移参数所需的模型也必须增加复杂性。多状态模型被广泛用于此目的,因为它们可以容纳多维研究设计并具有灵活的参数设置。用于复杂的释放-捕获研究设计的多状态模型的模型规范绝非易事,并且需要对这些类型的模型有透彻的统计了解。此外,多状态模型要求对所研究设计的所有可能的捕获历史进行规范。手动完成此任务可能会令人望而生畏,因为某些发布-重新捕获研究的可能捕获历史可能数以万计。本论文描述了能够执行多状态模型规范的计算机程序(Program BRANCH)的创建和实现。复杂释放-回收研究的参数估计。该程序分为三个主要元素:(1)允许用户在屏幕上绘制研究设计图作为输入,指定释放和重新捕获的机会以及通过研究获得的生存和迁移路线的结构,(2)翻译研究将设计图转化为乘积多项式条件似然方程所指定的多状态模型,并且(3)为研究数据中具有生物学意义的迁移和生存参数提供估计值和标准误差。 BRANCH程序的构造是根据有向图和最大似然理论开发的,并使用五个不同的释放捕获研究作为测试案例进行了说明。

著录项

  • 作者

    Pope, Adam C.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Statistics.;Ecology.;Biostatistics.;Conservation biology.
  • 学位 Masters
  • 年度 2014
  • 页码 161 p.
  • 总页数 161
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:29

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