Sentence examples for difference residual from inspiring English sources
The fatigue behavior of carburized components such as automotive transmission gears is very complex due to hardness and microstructure difference, residual stresses and multi-axial stress states developed between the case and the core and/or at stress concentrations.
To the weekly STCD (STation Coordinate Difference) residual position time series of 23 stations referred to ITRF2008 and expressed in the local frame (North, East and Up), we calculated the Allan variance to identify their noise type, and applied the wavelet transform to assess their annual and semi-annual signals, and their noise level.
However, in actuality, it was 3.6, so that difference (residual) is + 0.77 increase in grade point from what would be expected.
According to the above description, the relationship is obtained between the temporal difference, residual value, and N NJND in each 8 × 8 block.
The statistical approach utilised simple statistical function such as the product and exponential of 1st and 2nd difference of a well bottom-hole flowing or shut-in pressure tied to the standard deviation; and sum of square difference of 1st difference residual series to generate the statistical diagnostic models such as StatDiv, StatSSE, StatDev, StatExp, StattDev and StatDdev.
In MT inversion without considering C D, the misfit function is difference (residuals) between the recorded data d obs and synthetics d i.
Difference residuals were then obtained as the difference between the observed and predicted values (divided by facility size).
Difference residuals were analysed using linear regression including an interaction term representing the difference in 'change from baseline' between the design groups.
While attempts were made to statistically control for some of these differences, residual confounding may remain.
Although we applied valid statistical techniques to adjust for these differences, residual confounding by unknown or imprecisely measured variables may have affected our results.
Error-domain model falsification generates a space of possible model instances (combination of parameters), obtains predictions for each of them and then rejects instances that have unlikely differences (residuals) between predictions and measurements.
