Estimating sampling bias by using paired samples

M. Thompson, D. Patel
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引用次数: 4

Abstract

A method for investigating the possibility of bias between sampling methods has been devised. It is effected by collecting paired samples from a number of different sampling targets. Paired samples are created by executing a standard sampling protocol and a sampling method under validation in a randomised fashion at each target. After chemical analysis of the two samples, the difference between a pair of results is an estimate of the bias for that target. Repeating the procedure for many distinct targets improves the precision of the estimate. If the analyte concentration range of the targets is small, the mean of the difference estimates is taken as the overall bias estimate. The mean bias can be tested for significance, if required, by a one-sample test. If the concentration range is wide, potential biases can be considered as functions of analyte concentration. Weighted functional relationship estimation is appropriate for this purpose.
利用配对样本估计抽样偏差
设计了一种调查抽样方法之间偏差可能性的方法。它是通过从许多不同的采样目标中收集成对样本来实现的。通过在每个目标以随机方式执行标准采样协议和验证下的采样方法来创建成对样本。在对两个样品进行化学分析后,两个结果之间的差异就是对该目标的偏差的估计。对许多不同的目标重复这个过程可以提高估计的精度。如果目标物的分析物浓度范围较小,则取差值估计值的平均值作为总体偏差估计值。如果需要,可以通过单样本检验来检验平均偏差的显著性。如果浓度范围很宽,潜在的偏差可以被认为是分析物浓度的函数。加权函数关系估计适用于此目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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