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The accuracy of a multivariate calibration (MVC) model for relating concentrations of multicomponent mixtures to their spectral measurements depends on effective handling of errors in the measured data.
However, the measured boundary condition is not the actual boundary condition, which may still cause errors in the measured velocities.
One of the major difficulties in accurate identification of joint properties is that the identification results can be significantly affected by various errors in the measured data.
Based on an approximate analytical model of the complex stiffness test system comprising the load frame, force transducer, test sample end plates, connecting rods and a viscoelastic element, expressions are derived for correcting the inherent systematic errors in the measured complex stiffness of the viscoelastic element arising from the stiffness and inertia of these fixtures.
Even if errors in the measured data are at an insignificantly low level (say, 5% in FRFs), their effects on the identification can be severe enough so that in some cases the predicted joint properties can be completely irrelevant to the true properties of joints.
We have errors in the measured and.
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This procedure can be optimized to reduce the statistical error in the measured cross-section.
In order to eliminate any possible error in the measured data, the measured (true) poles and zeroes are used in the response files to replace the nominal values.
The reason for this pressure drop and its contribution to the magnitude of error in the measured throughput value is discussed.
However, because of the fact that the DPHP measured heat capacity (c) of soil is hyper-sensitive to probe spacing variation, probe deflection causes large error in the measured c.
For Va images derived using the BFMF formula without ATB correction, qualitative and quantitative accuracy suffered from noise and from further systematic error in the measured and corrected input functions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com