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The phrase "model error estimate" is correct and commonly used in written English, especially in technical or scientific contexts
It refers to the amount of error or uncertainty present in a mathematical or statistical model. Example: "The model error estimate for the climate change prediction was within a range of plus or minus 5%, indicating a high level of reliability."
Exact(1)
These approaches inherently neglect any a priori knowledge of physics in developing the model error estimate.
Similar(59)
To more formally demonstrate the relationship between RMS scores and sequence lengths, human DNA sequences of lengths ranging from 400,000 to 500 bps were generated and model error estimated for each dataset using separate modelling to minimum values (Additional file 3: Figure S2 in Supplementary Data).
We have restricted results to species specific per tree model errors estimated from [9].
We have restricted results to species specific per tree model errors estimated from [ 9].
However, if statistical inference is to be performed as part of the experimental analysis, one view is that inferential procedures should be performed using a model independent error estimate instead of the residual mean square from the fitted model.
The bootstrap is a powerful method offering a low variance of the model generalization error estimate.
The model error is estimated as the difference between the models given by the straight and curved paths.
Taking Tables 1 and 2 together, for example, hmF2 value in January, for low solar activity year, the overall model error is estimated at 8.3%, whereas the relative deviation of hmF2 from the median is found to be 8.1%.
Three-dimensional numerical results demonstrate the effectiveness of the coupled model, the error estimates, and the adaptive modeling procedure.
However, supported by our results, we argue that our approach is consistent with the main objective of any recovery procedure: to estimate model errors in population estimates of biomass as opposed to a rediscovery of 'lost' estimates of model errors.
Model errors in estimates based on a nonlinear un-weighted equation were approximately 2 3%% points lower.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com