Sentence examples for errors of calibration from inspiring English sources

The standard errors of calibration, prediction, biases and differences in them were low, which indicated that NIRS has potential to predict maturity and ripening parameters of banana nondestructively.

The statistical parameters, in terms of relative errors of calibration and prediction, were acceptable for the determination of both CIP and DEX.

Conventional criteria such as the R2, the root mean square errors of calibration and prediction (RMSEC and RMSEP) as well as the number of PLS factors enabled the selection of three preliminary models.

The standard errors of calibration, prediction, biases and differences in them were low which indicated the NIRS potential to predict internal quality parameters (TSS and pH) of mango non-destructively for both models.

Apart from these high correlation coefficients, small root mean square errors of calibration (RMSEC) and prediction (RMSEP), standard error of calibration (SEC) and prediction (SEP) and minimum bias were obtained.

Conventional criteria such as, number of PLS factors, R2, root mean square errors of calibration, cross-validation and prediction (RMSEC, RMSECV, RMSEP) enabled the selection of three model candidates.

Table 6 also shows the standard error of prediction and the standard error of calibration.

The determination coefficient (R2) was 0.98 and root mean square error of calibration (RMSEC) was 4.24 for the calibration models.

Root mean square error of calibration (RMSEC), cross-validation (RMSECV) and prediction (RMSEP) were calculated to evaluate the models.

It is desirable for a good model to have low error of calibration and few factors as possible (Fig. 3).

The model's standard error of calibration was 2.95% of the API level with a R2 of 0.991.