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The resulting robust optimal DWMR protocols improve the worst-case quality of parameter estimates using nonlinear least squares optimization by exploiting available a priori knowledge of model parameters.
It is a standard practice in digital soil mapping studies to validate at the point support but our results show that this is likely to represent the worst case scenario for assessing their prediction quality.
The results, presented above, have been interesting in the face of the fact that we presented a worst case example tessellation in terms of quality difference as well as DEM size.
They force adherence to a bureaucratic system of procedural ethics which is ill suited to the nature of the research and which, in the worst case, works 'unethically' to compromise the quality and reach – and consequently also the value - of the findings.
In contrast to previous deterministic models, our formulation captures the stochastic nature of lossy links and quantifies the worst-case path quality in a network.
Intensity-based RNA quality measures are therefore potentially prone to systematic errors which, in worst case, can provide diametrically opposed information in assessing apparently good RNA quality in samples with largely degraded RNA (see below).
This paper focuses first on validation of flying quality longitudinal and lateral stability criteria and related worst case definition via μ-analysis.
All the global qualities range between (0, 1), where 1 indicates a perfect model and 0 indicates the worst case.
Worst case?
That's the worst case".
"The worst case?" Mr. Bloomberg said.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com