Sentence examples for relation of the error from inspiring English sources

Exact(1)

An evaluation of the short memory effect and convergence relation of the error between short and long memory were clearly described and also proved in [4].

Similar(59)

Underlying questions that are central to field studies of the groundwater surface water interaction are the extent of error in means and spatial distributions of streambed attributes such as groundwater seepage rate or solute flux, and the relation of this error to the number and location of point measurements.

Given that both local and global errors are relative metrics, the relation of the local error with the global error can show how the local citizens' selections of a summarization level affect the global outcome of the accuracy in the summation and average.

The CCF values between the error series corresponding to different wind farms are depicted in Fig. 5 to test the temporal-spatial dependence relation of the forecast errors.

1) The temporal-spatial dependence relation of the forecast errors is included into the probabilistic forecast result, and the approach can provide more useful information for the system operation.

A complementary explanation has been offered for the relation of increased error signals to the severity of obsessions and compulsions in OCD (Gehring et al., 2000; Ursu et al., 2003).

This again shows the close relation between the error of deterministic and the stochastic QSSA.

We find a roughly linear relation between the width of the error threshold and the fitness fluctuation strength.

It is noteworthy to mention the relation between the error caused by segmentation and the error of IF estimation.

Spearman's rank correlation coefficients were used to assess the strength of the relations between the error rate and anaesthetist's self reported workload, and the error rate and compliance scores for use of the new system, per case.

The relation of error rate to low detection probability is mathematically mapped to the constraint of mean squared power, as explained in [2].

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