Water quality — Calibration and evaluation of analytical methods and estimation of performance characteristics — Part 2: Calibration strategy for non-linear second-order calibration functions
水质与灰分;分析方法的校准和评估以及性能特性的估计Spart 2:非线性二阶校准函数的校准策略
发布日期:
2001-11-01
并非总是能够准确地描述一组校准点之间的直线关系
曲线,甚至通过减小工作范围。与线性回归分析不同,最小二乘法适用于
采用二阶多项式(见ISO 8466-1:1990[1]第4.1.3节中的线性测试)。使用这种配合,这是可能的
不仅要计算校准函数,还要计算与之相关的置信区间。
ISO 8466的本部分主要用于方法开发,不一定适用于
所有常规分析。
It is not always possible to accurately describe the relationship between a set of calibration points with a rectilinear
curve, even by decreasing the working range. Instead of the linear regression analysis, a least-squares fit to a
second-order polynomial is applied (see test for linearity in 4.1.3 of ISO 8466-1:1990[1]). Using this fit, it is possible
to calculate not only the calibration function but also the confidence interval associated with it.
This part of ISO 8466 is intended primarily for use in method development and may not necessarily be applicable to
all routine analyses.