Delft University of Technology, Mekelweg 15, 2629 JB, Delft, The Netherlands.
Analyst. 2009 Sep;134(9):1934-5; discussion 1936. doi: 10.1039/b812422a. Epub 2009 Jul 9.
Recently, Lyn et al. (Analyst, 2007, 132, 1231) compared two ways of estimating the standard uncertainty of sampling pistachio nuts for aflatoxins--a modelling method and an empirical method. Their case study used robust analysis of variance (RANOVA) to derive the uncertainty estimates, highlighting a substantial difference between the two: the estimate of sampling uncertainty derived from the modelling method was six-fold greater than that using the empirical approach (cf. 136% and 22.5%, respectively, when expressed as relative standard deviations (RSDs) at 68% confidence). A further analysis of this case study is reported here and suggests that the estimation uncertainty during RANOVA in the empirical approach could account for this difference.
最近,Lyn 等人(Analyst,2007,132,1231)比较了两种估算开心果中黄曲霉毒素采样标准不确定度的方法——一种是建模方法,另一种是经验方法。他们的案例研究使用稳健方差分析(RANOVA)来推导出不确定度估计值,突出了这两种方法之间的显著差异:建模方法得出的采样不确定度估计值是经验方法的六倍(当以置信度为 68%时的相对标准偏差(RSD)表示时,分别为 136%和 22.5%)。这里报告了对此案例研究的进一步分析,表明经验方法中在 RANOVA 过程中的估计不确定性可以解释这种差异。