From GUM to alternative methods for measurement uncertainty evaluation

Evaluación y aplicación de la incertidumbre de medición en la determinación de las emisiones de fuentes fijas: una revisión

“…Cuando la estimación de la incertidumbre se realiza mediante el uso de distribuciones de probabilidad, se identifican dentro de la literatura diferentes trabajos que abordan vacíos que posee la GUM para su implementación, entre los cuales están: evaluación de la incertidumbre en medi-ciones, problemas y herramientas [4]; evaluación de la incertidumbre para múltiples mediciones usando GUM [26]; evaluación de la incertidumbre para múltiples mediciones usando GUM, parte II [27]; exactitud de mediciones simples, las cuales no son mencionadas por la GUM [28]; aplicación para el chequeo de consistencia en la evaluación de la incertidumbre en mediciones de múltiples réplicas [29]; de la GUM a métodos alternativos para la evaluación de la incertidumbre de medición [30]; evaluación de la incertidumbre para múltiples mediciones por GUM, parte III, usando coeficientes de correlación [31].…”

Uncertainty evaluation in the analysis of biological samples by sector field inductively coupled plasma mass spectrometry. Part B: measurements of As, Co, Cr, Mn, Mo, Ni, Sn and V in human serum

“…The basic concept adopted here was not to identify the individual influence factors that contributed to the total uncertainty budget, but to use data that were available in the laboratory in which the individual uncertainty components were already grouped. [14][15][16][17][18][19][20][21] Following this approach, the in-house experiments that we conducted by changing as many factors as possible produced validation data that combined the individual effects into few groups (such as trueness, precision and robustness). These grouped data were then used to calculate the total uncertainty.…”

“…Moreover, it frequently happens that, once all the contributions are identified and then combined, some of them are so low that they could be easily neglected. For these reasons, there has been a recent tendency to simplify the uncertainty calculation process considering that some sources are not necessarily independent but already included in major contributions and some others are of minor importance 14–21. For example, the repeatability term included contributions from any part of the procedure that varies over a period of time and within runs, including contributions from volumetric errors, heterogeneity of the test material, and variation in the chemical treatment stages of the analysis.…”

“…For these reasons, there has been a recent tendency to simplify the uncertainty calculation process considering that some sources are not necessarily independent but already included in major contributions and some others are of minor importance. [14][15][16][17][18][19][20][21] For example, the repeatability term included contributions from any part of the procedure that varies over a period of time and within runs, including contributions from volumetric errors, heterogeneity of the test material, and variation in the chemical treatment stages of the analysis. The reproducibility accounted for additional variations, such as changes of analyst, calibration standards, batches of reagents, recalibration of instruments, and the laboratory environment (e.g., temperature changes).…”

Estimativa da incerteza de medição: estudo de caso no ensaio de migração de ε-caprolactama com determinação por CG-DIC

“…Cálculos de desvio padrão de média de uma série de observações como, por exemplo, repetitividade e utilização do método dos mínimos quadrados ordinários (MMQO) para ajuste de curva linear são exemplos típicos de incertezas do Tipo A. Por outro lado, incertezas obtidas em certificados de calibração são exemplos de incertezas do Tipo B. 10,11 Apesar da dificuldade de compreensão e de domínio das ferramentas estatísticas necessárias para os cálculos envolvidos, atualmente são encontrados diversos guias orientativos nacionais e internacionais para facilitar o cálculo da incerteza dos ensaios. Nesses guias são encontradas metodologias de cálculos, cada uma mais adequada a um determinado tipo de ensaio.…”