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Notes on the use of Mandel's test to check for nonlinearity in laboratory calibrations

机译:关于使用Mandel检验在实验室校准中检查非线性的注意事项

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The assessment of the straight line behaviour of a calibration function is of paramount importance to finally decide on the linear range of an analytical procedure and to proceed with the correct calculation of the confidence interval associated with the magnitude of the property being studied. Mandel's test is a straightforward and simple test that, despite being suggested by IUPAC in 1998, has not been applied broadly. The present work studies the validity of the IUPAC approach where the degrees of freedom become simplified, compares it to the original definition given by Mandel, and reviews its correct interpretation. Simulations were made varying the number of data points considered in a calibration (from 4 to 500), as well as the magnitude of the variances of the linear and non-linear models. It was found that the IUPAC simplification is not valid in general although it can be used safely when the variances of the linear and alternative models are very similar, typically when they differ by less than 10%. It is also noticed that application of Mandel's test to routine calibrations (e.g. 6 concentration levels times 4 replicates each) would not be suitable for differentiating between linear and nonlinear models even when their variances differ by 25%.
机译:最终确定分析程序的线性范围,并正确计算与所研究特性的大小相关的置信区间,对校准函数的直线行为的评估至关重要。 Mandel的测试是一种简单明了的测试,尽管IUPAC在1998年提出了该测试,但尚未广泛应用。本文研究了IUPAC方法的有效性,该方法简化了自由度,将其与Mandel给出的原始定义进行了比较,并回顾了其正确的解释。通过更改校准中考虑的数据点数量(从4到500)以及线性模型和非线性模型的方差大小来进行模拟。已发现,IUPAC简化通常无效,尽管当线性模型和替代模型的方差非常相似(通常相差小于10%)时可以安全使用IUPAC简化。还要注意的是,将Mandel检验应用于常规校准(例如6个浓度水平乘以4个重复样品)将不适合区分线性和非线性模型,即使它们的方差相差25%。

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