2.
Measurement Process Characterization
2.5. Uncertainty analysis 2.5.6. Uncertainty budgets and sensitivity coefficients
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Sensitivity coefficients from a 3-level design
Case study showing sensitivity coefficients for 3-level design |
If the temporal components are estimated from a
3-level nested design and the
reported value is an average over
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Problem with estimating degrees of freedom | If degrees of freedom are required for the uncertainty, the formula above cannot be used directly and must be rewritten in terms of the standard deviations \(s_1\), \(s_2\), and \(s_3\). $$ s_{reported \, value} = \sqrt{ \frac{1}{P} s_3^2 + \frac{K-M}{PMK} s_2^2 + \frac{J-N}{PMNJ} s_1^2 } $$ | ||
Sensitivity coefficients |
The sensitivity coefficients are:
$$ \begin{eqnarray*}
a_1 & = & \sqrt{\frac{(J-N)}{PMNJ}} \\
a_2 & = & \sqrt{\frac{(K-M)}{PMK}} \\
a_3 & = & \sqrt{\frac{1}{P}} \\
\end{eqnarray*} $$
Specific sensitivity coefficients are shown in the table below for selections of \(N, \, M, \, P\). In addition, the following constraints must be observed:
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\(N\) |
\(M\) |
\(P\) |
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