Sentence examples for methods were larger from inspiring English sources

The study also compared the built linear regression model with geostatistical methods (i.e., ordinary kriging, splines and inverse distance weight), generally, the predictions errors obtained by the geostatistical methods were larger than that by regression method.

However, for GY under optimum conditions (GY-WW), prediction differences within GBLUPs and RKHSs for the different imputation methods were larger than for GY-SS.

Although the uncertainties associated with the difference of the analytical methods were larger in the case of the fuel oil, the differences were not significant for trichlorinated to nonachlorinated biphenyls.

Due to the presence of TiNT immobilized on the pumice, the surface area of the products of both methods are larger than pure pumice.

From Fig. 8, we can see that errors of both 2-D based methods are larger than that of 4-D based methods except for the range d=[60,90] of the method (V).

The biases for all methods are larger in scenarios where the true HR is larger because this reflects a greater hazard of events in the experimental arm.

As with the previous dataset, the classical approach based on multiple sequence alignment performed best; this time the difference between alignment-based and alignment-free methods was larger.

FDR in Table 1) from MBIS and regular t-test methods are larger than the preset q-values, while SAM methods are usually too conservative and need large q-values to get a reasonable proportion of true positives.

Because 5 of the 11 samples were outside the interval outlined by the lines, the difference between the two methods was larger than could be explained by imprecision only.

We considered that a method performs significantly better than another one if its performance is significantly better with a P < 0.05 and the difference between the performance estimates of the two methods is larger than 1% of the lowest value.

The bias when using the simple methods was larger for the differing directions dropout mechanism, compared with the same direction, when data were missing at random and for all analyses, including the mixed model, for missing not at random data.