Uncertainty evaluation from Monte-Carlo simulations by using Crystal-Ball software

被引：35

作者：

Gonzalez, AG ^{[1
]}

Herrador, MA ^{[1
]}

Asuero, AG ^{[1
]}

机构：

[1] Univ Seville, Dept Analyt Chem, E-41012 Seville, Spain

来源：

ACCREDITATION AND QUALITY ASSURANCE | 2005年 / 10卷 / 04期

关键词：

propagation of distributions; Monte-Carlo simulation; measurement uncertainty;

D O I：

10.1007/s00769-004-0896-9

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The first Supplemental Guide to the current edition of the Guide to the expression of uncertainty measurement (GUM) deals with the propagation of distributions, and emphasizes the use of Monte-Carlo Simulation (MCS) for estimating the uncertainty of measurands. In order to carry out MCS we need computer programs for generating pseudo-random numbers and for solving numerically the integral equations arising when simulating the values of the specification variables with a given probability density function (PDF). Crystal-Ball commercial software is very suitable for performing MCS and to estimate the expanded uncertainty for the measurand. The use of Crystal-Ball is illustrated with two working examples dealing with specification models of non-linear features and with correlated variables (such as the slope and intercept of calibration straight lines), respectively.

引用

页码：149 / 154

页数：6

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