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A Statistical Approach for Left-Censored Data: Distributions of Atmospheric Polychlorinated Biphenyl Concentrations near the Great Lakes as a Case Study

机译:左删失数据的一种统计方法:以大湖区附近的大气中多氯联苯浓度分布为例

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Polychlorinated biphenyl (PCB) congener concentrations were measured in atmospheric samples collected once every 12 days at six sites on the shores of the North American Great Lakes. These data have been obtained as part of the Integrated Atmospheric Deposition Network (IADN), which began in 1991. This data set now consists of ~2900 samples, each of which has been measured for ~80 PCB congeners. Some of these congeners are present at levels sufficiently high to be quantitated in almost every sample, while others are detected in fewer than two-thirds of the samples. These latter congeners represent an example of left-censored environmental measurements. This paper offers a simple approach to dealing with uncensored and censored atmospheric PCB concentration data based on a careful examination of the distribution function of the data and using the curve fitting power of the Solver feature of Excel.
机译:在北美大湖沿岸的六个地点,每12天收集一次大气样品,测量多氯联苯(PCB)同类物质的浓度。这些数据是作为1991年开始的综合大气沉积网络(IADN)的一部分而获得的。该数据集现在包含约2900个样本,每个样本都测量了约80个PCB同类物。这些同类物中的某些以足够高的水平存在,几乎可以在每个样品中进行定量,而其他同类物则在不到三分之二的样品中被检测到。这些后面的同类代表左删截环境测量的一个例子。本文通过仔细检查数据的分布函数并使用Excel的Solver功能的曲线拟合能力,为处理未经审查和经审查的大气PCB浓度数据提供了一种简单的方法。

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