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Open image in new window Fig. 16 Comparison between GS2 and OMA tests output: modal frequencies.
Open image in new window Fig. 10 Comparison in terms of displacement between GS1 (continuous line) and experimental static tests output (dashed line): on the first row, top nodes of the vault; on the second row, center nodes of the vault.
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Classical model: The test output is positive iff the tested pool contains at least one defective: begin{array}{*{20}l} (vec{theta}_{text{all1}})_{z} = left{begin{array}{cc} 0 & text{if}~ z = 0; 1 & text{if}~ z > 0. end{array}right.
It was only when I heard the voice of Zane Lowe testing the level that I realised it was also the test output of the station.
One factor is the tolerance accepted in test output.
Fig. 2 Spatial point pattern test output, assault, dissemination areas, Saturday versus rest of the week.
Test output compactors can effectively reduce the data volume of test responses without scarifying fault coverage.
Fig. 3 Spatial point pattern test output, theft from vehicle, dissemination areas, Saturday versus rest of the week Fig. 4 Spatial point pattern test output, burglary, dissemination areas, Monday versus rest of the week.
Figure 11 Typical test output in verifying a noise reduction subsystem's interaction with a transient noise reduction subsystem.
Open image in new window Fig. 17 Comparison between GS2 and OMA test output for the first four modal shapes.
However, when there are unknown values (X-bits) in the test output, the fault coverage can be severely comprised.
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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