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Statistical inference about the relative efficiency of a new survey protocol, based on paired-tow survey calibration data

机译:基于双拖调查校准数据的关于新调查协议相对效率的统计推断

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摘要

Paired-tow calibration studies provide information onudchanges in survey catchability that may occur because of some necessary change in protocols (e.g., change in vessel or vessel gear) in a fish stock survey. This information is important to ensure the continuity of annual time-series of survey indices of stock size that provide the basis for fishudstock assessments. There are several statistical models used to analyze the paired-catch data from calibrationudstudies. Our main contributions are results from simulation experiments designed to measure the accuracy of statistical inferences derived from some of these models. Our resultsudshow that a model commonly used to analyze calibration data can provide unreliable statistical results when there is between-tow spatial variation in the stock densities at eachudpaired-tow site. However, a generalized linear mixed-effects model gave very reliable results over a wide range of spatial variations in densities and we recommend it for the analysis of paired-tow survey calibration data. This conclusion also applies if there is between-tow variation inudcatchability.
机译:成对拖曳校准研究提供了有关鱼类种群调查中规程的某些必要更改(例如,船只或船只装备的变化)而可能引起的调查可捕获性变化的信息。这些信息对于确保种群规模调查指数的年度时间序列的连续性至关重要,这些指数为鱼类 udstock评估提供了基础。有几种统计模型可用于分析来自校准研究的成对捕捞数据。我们的主要贡献来自模拟实验的结果,这些实验旨在测量从其中一些模型得出的统计推断的准确性。我们的结果 ud表明,当每个不成对的丝束站点的种群密度在丝束之间存在空间变化时,通常用于分析校准数据的模型可能无法提供可靠的统计结果。但是,广义的线性混合效应模型在各种密度的空间变化范围内都给出了非常可靠的结果,我们建议将其用于成对拖曳测量校准数据的分析。如果 uCatchability之间存在两行间变化,则该结论也适用。

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