Add to ORKGAbstract: This paper compares two alternative averaging methods commonly adopted to estimate measurand values, in agreement with the guidelines of the Guide to the Expression of Uncertainty in Measurement (GUM). According to the proposed analysis, validated in a simple case study, the choice of best estimation method should depend not only on the amount of nonlinearity of the measurement model, but also on the amount of definitional and acquisition uncertainty of the input measurands
This chapter illustrates basic concepts necessary to justify and understand the uncertainty evaluati...
We compare three approaches for quantifying uncertainty through a measurement equation: the Internat...
Empirical growth research faces a high degree of model uncertainty. Apart from the neoclassical grow...
This paper compares two alternative averaging methods commonly adopted to estimate measurand values,...
A non-linear function of a sample average is different from the average of that function evaluated ...
The Guide to the expression of uncertainty in measurement (GUM) requires, “that the results of a mea...
Texto completo: acesso restrito. p. 1526–1530The Guide to the Expression of Uncertainty in Measureme...
Evaluation of analytical results reliability is of core importance as crucial decisions are taken w...
The publication in 1993/1995 of the Guide to the Expression of Uncertainty in Measurement, GUM, stim...
The Guide to the Expression of Uncertainty in Measurement advocates the use of an `effective number ...
The Guide to the expression of measurement uncertainty, (GUM, JCGM 100) and its Supplement...
We propose a new approach to addressing the expression and evaluation of uncertainty in measurement,...
The knowledge of measurement uncertainty is important to judge the diagnostic power of quantitative ...
Among the sources of measurement uncertainty, the GUM [ISO 1995] lists the incomplete definition of ...
9 p. : il.This paper proposes to discuss some concepts whose importance is fundamental to any theory...
This chapter illustrates basic concepts necessary to justify and understand the uncertainty evaluati...
We compare three approaches for quantifying uncertainty through a measurement equation: the Internat...
Empirical growth research faces a high degree of model uncertainty. Apart from the neoclassical grow...
This paper compares two alternative averaging methods commonly adopted to estimate measurand values,...
A non-linear function of a sample average is different from the average of that function evaluated ...
The Guide to the expression of uncertainty in measurement (GUM) requires, “that the results of a mea...
Texto completo: acesso restrito. p. 1526–1530The Guide to the Expression of Uncertainty in Measureme...
Evaluation of analytical results reliability is of core importance as crucial decisions are taken w...
The publication in 1993/1995 of the Guide to the Expression of Uncertainty in Measurement, GUM, stim...
The Guide to the Expression of Uncertainty in Measurement advocates the use of an `effective number ...
The Guide to the expression of measurement uncertainty, (GUM, JCGM 100) and its Supplement...
We propose a new approach to addressing the expression and evaluation of uncertainty in measurement,...
The knowledge of measurement uncertainty is important to judge the diagnostic power of quantitative ...
Among the sources of measurement uncertainty, the GUM [ISO 1995] lists the incomplete definition of ...
9 p. : il.This paper proposes to discuss some concepts whose importance is fundamental to any theory...
This chapter illustrates basic concepts necessary to justify and understand the uncertainty evaluati...
We compare three approaches for quantifying uncertainty through a measurement equation: the Internat...
Empirical growth research faces a high degree of model uncertainty. Apart from the neoclassical grow...