In contrast, the main goals of the D study are to deduce or explain the measurement results according to the specific decision needs, reconstruct a variety of generalized regions, estimate the size of the variance components at the level of the sample mean, and then estimate the various measurement errors and measurement accuracy indices (relative error and GC or
absolute error and DI) to provide valuable information that can be used to improve measures (Yang & Zhang, 2003).
Maximum
absolute error for Example 1 for different values of e with N = 23 (initially) [epsilon] Max.
It was observed that the models developed through DM techniques presented the smallest
absolute errors relative to the ARIMA model.
The
absolute error of porosity was still large, but due to the reduction of the heat transfer time, it was reduced from about 11.4 to 8.2%.
Parameter SIDFT RVCI Mean of absolute values of errors 0.0214 0.0084 Maximum
absolute error 0.0447 0.0191 Rms error 0.0258 0.0104 Probability of
absolute error less than 0.001 (bin) 24.8% 44.6% Probability of
absolute error less than 0.005 (bin) 46.2% 78.0% Probability of
absolute error less than 0.01 (bin) 57.3% 94.5% Parameter SIDFT RVCI + AS + AS Mean of absolute values of errors 0.0005 0.0005 Maximum
absolute error 0.0355 0.0326 Rms error 0.0017 0.0015 Probability of
absolute error less than 0.001 (bin) 90.74% 90.57% Probability of
absolute error less than 0.005 (bin) 98.13% 98.17% Probability of
absolute error less than 0.01 (bin) 99.32% 99.32%
Table 2 lists the mean and standard deviation of the
absolute error.
Figure 8 also shows that the relative magnitude of the cost function J/[J.sub.1] and the mean
absolute error (MAE) of observation points of the adjoint model using the characteristic finite difference (CFD) scheme decline more quickly than the central difference scheme (CDS).
60 remained data were used as the test data into the best prediction model to calculate the average
absolute error percentage.
Figure 1 presents the
absolute error of ADM with Bernstein polynomial in (a) and ADM with modified Bernstein polynomial in (b) at m=v=6 and k=2.
The
absolute error between measured flow [V.sub.U], which was measured by the ultrasonic meter, and the calculated flow [V.sub.C], which was calculated using the corrected valve command, was taken for the first set of errors [Error.sub.1].
Now, we will use the bound in (3.10) to estimate the
absolute error |[[lambda]*.sub.l] - [[lambda].sub.l,N]| when [[lambda]*.sub.l] is the exact eigenvalue of the problem (1.5)-(1.6) and [[lambda].sub.l,N] is the zero of the function [[DELTA].sub.l,N]([lambda]).