Sentence examples for assessments of error from inspiring English sources
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.
As process-based air pollution models become more widely used in epidemiological time-series analysis, assessments of error impact that include statistical simulation may be useful.
One interpretation of non-parametric bootstrapping that is compatible with Bayesian inference was also proposed [[ 37], page 7090]: "In a Bayesian sense, can be thought of as reasonable assessments of error".
As process-based air pollution models become more widely used in epidemiological time-series analysis because of their advantages in terms of geographical coverage and their potential to provide complete time-series for all pollutant species of interest, assessments of error impact which include statistical simulation may be useful.
Deterministic methods such as RMA and KED provide a single predicted map with either aspatial (e.g., standard error, in regression techniques) or limited spatial (e.g., KED variance) assessments of errors, respectively.
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).
