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Yet 2013 shows the black line (actual data) falling behind the theory again.
This was reflected by a reduced percentage of data falling below the LOQ for 7-day monitoring compared with 24-h monitoring.
Minima and maxima shown extend to from the box +/− 1.5*IQR with data falling outside of that range shown as points.
The overall MAE against the database is 13.7%, with 66.5% and 89.0% of the data falling within ±15%and±30%0% error bands, respectively.
For more than a decade, cryptographers have possessed strong encryption techniques that could virtually guarantee that data falling into the wrong hands-through a stolen laptop, say, or an intercepted radio signal-would be impossible to decode.
As mentioned above, the peak for the pooled data was the value of x* with the highest P. In some cases where the first criterion was not met, most of the units had population coupling values that were not spanning the peak found for the pooled data, falling mostly to the left or right of the peak instead (examples shown in Fig. 6a, b).
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But some analysts and investors apparently thought the data fell short of expectations.
Most of the fitted data fell within ±20% of the experimental values.
When mixed data falls into multiple risk categories, use the highest risk classification across all.
region (the magenta points) the data falls of as y ~ A * RTT-6.6 whereas beyond 18msec.
Where will the increasing use and monetization of data fall on the news/commercial speech divide?
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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