The more parent nodes Pa(X) contains, the larger the deviation is because of the increasing model complexity and hence the increasing 'difficulty in estimation' [ 30].
The mathematical models had good predictability because the deviation was less than 1% between the predicted value and measured value.
On the other hand, the storm signatures can be detected by all the 8 stations, because the deviations are greater than 2 standard deviations of 4 6 TECu.
In addition, changes in R for 50 to 100 s periods smaller than those for 100 to 200 s can also be represented as a result of the h deviation, because that deviation is more influential on the instrumentation responses at periods closer to the 360-s corner.
In the case of EPMA measurements, mean values are only reported in the tables because the standard deviation is always below 1.65, indicating the substantial homogeneity of the samples.
The upward deviations are apparently so small because the line shows the average share of components of all 100 simulation runs, but the deviations are still visible.
Because this deviation was small (14 %, compared to the ±10%% acceptable range) and dose-normalized PK data demonstrated that the interpretation of the exposure data was not impacted by this change, the nominal dose (10 mg/kg) was used for this group.
For example, the dry application of 100 mg TiO2 per kg dm to the soil did not yield a significant difference to the control because the standard deviation was 25% (number of juveniles: 299 ± 74) whereas the application of 50 mg/kg resulted in a statistically significant difference, reflecting the smaller standard deviation of 15% (number of juveniles: 295 ± 44).
Our results in general agree with the theoretical predictions and the small deviation is because of the fact that those theoretical formulas are more precise for the case of small core fibers for small axial and lateral displacements while we are using large core fibers and relatively long displacements.
In the simplest case, with only one observed productivity related variable being varied in the job applications, a group difference in the coefficient of this variable can either arise because the identifying assumption does not hold or because the relative standard deviation is different from unity.
