Sentence examples for measurement errors during from inspiring English sources

Factors tested included the number of manual gauged points, the type of rating curve (power vs polynomial), the use or not of the observed stage-of-zero flow, the spread of gauged points along flow range, and the measurement errors during gauging.

Unlike ordinary regression, SEM allows testing of relationships between the underlying predictor and outcome variables simultaneously, taking into account the covariance between these variables and their measurement errors during the calculation and evaluation of path coefficients (Bollen [1989]).

Errors may be introduced, on the part of the field sampling, by the defined plot size and sampling design, measurement errors during field work, allometric equations (to derive carbon values) and the spatial allocation of field samples to the pixel grid.

Due to the value of local time, this anomaly cannot be ascribed to some ionospheric effect but to some measurement errors during the peak of the storm or in an overestimated ring current intensity in this DLT interval by CHAOS-5.

No significant difference was found between wavelengths in DB-dynamic and DB-mid measurement errors during both experiments (see Table 2).

This type of training protocol has resulted in small measurement errors during the actual measurement period (SEM = 0.3 cm standing height; 0.1 kg body mass; 0.2 cm WC).

The estimated background light contributes about 3 10% of the total measurement error during daytime, which is improved by a factor of 3 10 compared to previous study.

Horne (1994) defined noise as a type of measurement error during a test which may be either unbiased (random noise) or biased (drift error).

Hence, it is unlikely that potential measurement error during data collection influenced the results of this present study.

The marked drop in air mercury concentrations was most likely due to the ventilation, although other possibilities include measurement error during the initial sampling due to instrument interference (e.g., cat urine) or differences in measurement heights between the two sampling dates.

One possible explanation could be that these pesticides with a very low proportion of values above the LOD are more sensitive to measurement errors introduced during sample collection, storage, preparation, and testing.