Sentence examples for the appropriate error from inspiring English sources

Exact(28)

This method has the advantage over ad hoc single imputations because the appropriate error structure is maintained.

The appropriate error vectors with coordinates formed by the differences dx, dy and dz are shown on Figures 4 and 5. Figure 3 Error model on configuration space.

In the case of SEC where the decision was to determine if the process drifted from a specified target then the appropriate error measure is the standard deviation.

When the probabilities in question are not too small or too large, then absolute error seems like the appropriate error criterion to use, and hence use squared Euclidean distance, while when probabilities are felt to be close to 0 or 1, then relative error seems like the appropriate error criterion and so use Kullback-Liebler distance.

Furthermore, the mesh adaptive method with the appropriate error indicators can effectively enhance the implementation efficiency of numerical method, while the steady state convergence and numerical accuracy are kept in the meantime.

In contrast, for the same computational resources SGR does not fit the data to the appropriate error level and hardly produces a locally optimal solution that looks visually similar to one of the two reference modes.

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Similar(32)

By specifying the appropriate error-accumulation (the appropriate portion of y5's variance) as fixed, the researcher could select whether the Figure 2 model contains η3C or η3B or η3A.

The most appropriate error distribution was selected based on deviance and the variance-covariance matrix was subsequently selected based on the lowest QIC value (PROC GENMOD).

False discovery rate (FDR) control is accepted as the most appropriate error control.

False discovery rate (FDR) control is commonly accepted as the most appropriate error control in multiple hypothesis testing problems.

This method can be used to fit a model to experimental data (thereby discovering the values with appropriate error margins of the models parameters under the conditions of the experiment).

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