Sentence examples for variance in the field from inspiring English sources

By 2000, after the courts had rejected such claims, arson investigators increasingly recognized the scientific method, but there remained great variance in the field, with many practitioners still relying on the unverified techniques that had been used for generations.

The best biomass model explained 59% of the variance in the field biomass.

The best model for the relationship between field AGB and lidar height explained 76% (multiple R 2) of the variance in the field biomass (Figure 3c; slope test p < 0.001) with a RMSE of 30.56 mg∙ha−1 (20.9% of the mean) and a BIAS of 0 (Figure 3d).

Of course, this comparison was done only for single accessions from in vitro cultivated Funariaceae and one can therefore expect more morphological variance in the field as well as from other accessions grown under in vitro conditions.

We do, however, continue to defend our main point it is unreasonable to conclude, based on the extensive Monte Carlo methods we employ, that the model sufficiently explains the observed variance in the field.

Tropical savanna grasses, however, did not respond to watering variance, neither in the field nor in pot experiments (unclipped treatment) [ 13].

Individual models localized within volumes containing Heschl's Gyrus and Planum Temporale [28], [29], and accounting for greater than 90% of residual variance in the measured field were subjected to further analysis.

This again highlights the efficiency of the mean-variance analysis in the field of investment and portfolio selection.

Due to the inherent weak coupling that exists between the iodine and xenon formation and destruction rates, as well as the complicating effect of spatial variance in the thermal flux field, reactor cores have been analyzed for a number of decades for the occurrence and severity of xenon-induced axial power oscillations.

These results are an improvement over those of Love and Swidinsky (2014), whose minimal half-space model accounted for 87% of the variance in the Kakioka electric field data for the Halloween storm but where high-frequency variation was not as well estimated.

SNP marker 1_0910 was the most significant marker in both of the datasets, accounting for 74.7% of the phenotypic variance (LOD 33.82) in the greenhouse experiment and 71.5% phenotypic variance (LOD 30.89) in the field experiment (Table  3).