A 2-COMPONENT MODEL FOR MEASUREMENT ERROR IN ANALYTICAL-CHEMISTRY

被引：157

作者：

ROCKE, DM ^{[1
]}

LORENZATO, S ^{[1
]}

机构：

[1] CALIF STATE WATER RESOURCES CONTROL BOARD,DIV WATER QUAL,SACRAMENTO,CA 94244

来源：

TECHNOMETRICS | 1995年 / 37卷 / 02期

关键词：

ATOMIC ABSORPTION SPECTROSCOPY (AAS); COEFFICIENT OF VARIATION; DETECTION LIMIT; GAS CHROMATOGRAPHY MASS SPECTROMETRY (GC/MS); MAXIMUM LIKELIHOOD; QUANTITATION LEVEL;

D O I：

10.2307/1269619

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article, we propose and test a new model for measurement error in analytical chemistry. Often, the standard deviation of analytical errors is assumed to increase proportionally to the concentration of the analyte, a model that cannot be used for very low concentrations. For near-zero amounts, the standard deviation is often assumed constant, which does not apply to larger quantities. Neither model applies across the full range of concentrations of an analyte. By positing two error components, one additive and one multiplicative, we obtain a model that exhibits sensible behavior at both low and high concentration levels. We use maximum likelihood estimation and apply the technique to toluene by gas-chromatography/mass-spectrometry and cadmium by atomic absorption spectroscopy.

引用

页码：176 / 184

页数：9