Sentence examples for assessment of error from inspiring English sources

straightforward assessment of error bounds,   4.

independence to extensive variables, statistical robustness, straightforward assessment of error bounds, no free parameters, easily understandable and interpretable.

The proposed algorithms are validated with examples from literatures and real-time test systems via assessment of error computation.

In our assessment of error, we do not rely at any point on the results of calibration model fits (e.g., RandomForest self-reported variance explained).

There are a few important problems, though, most notably the tendency to draw quantitative conclusions about relative potencies from dose-response curves that are not saturated, and from data presented without proper quantitation or assessment of error (see point 1).

Physical measurement, fit tests, and image based measurements were performed to compare the printed 3D model to the original QA phantom, with its known size and shape, providing an end-to-end assessment of errors involved in the complete 3D printing process.

These additional microenvironmental measurements can be used for fitting models to better estimate exposure, for model validation, and for assessment of errors in exposure assignments.

To exclude the possibility that interference was due to lack of knowledge, a post-hoc assessment of errors of interference revealed that 95% of those errors in German and 98% in Russian were known correctly.

As far as we can tell, our study (containing more than 16 000 observation sets) of a well-established system in stable clinical practice, is the largest assessment of errors within a paper-based track and trigger system undertaken to date.

The flexibility offered by this approach is demonstrated using examples of gridded maps of pest phenology on target dates, graphs of the sequences of pest development at individual locations and assessments of error in the predicted dates over the course of a model run.

Assessments of error variances must respect the observed variable's distribution.