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Typically, the recovered μ a for a homogeneous slab is overestimated by 20% at short SDs (5 20 mm), but only 5% at large SDs (from 25 40 to 35 50 mm) when no calibration is applied: this method favors long distance estimations because it neglects terms of order greater or equal to 1 in the Taylor development [ 41].
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It differs from ordinary maximum likelihood estimation because it accounts for the degrees of freedom used in estimating treatment effects and is the most appropriate method for fitting mixed models [37], [38], [39].
To re-state - the point here is not really the accuracy of these estimations because, as I said, even if they off by a substantial margin, they remain huge.
In Toenniessen's view, that is a difficult estimation because it tries to derive a hard number from an unpredictable chain of events.
The magnetization loss has to be considered for cable design and efficiency estimation because it is about 30 50% of transport current loss in our calculation results.
Additionally, the second method is scalable for large-scale estimation because it can quickly detect scene changes by merely using an image pair without performing large-scale SfM.
"La Clemenza di Tito" has also suffered in public and critical estimation because it came close on the heels of the three great operas Mozart wrote with the librettist Lorenzo Da Ponte: "Le Nozze di Figaro," "Don Giovanni" and "Così Fan Tutte".
Although aboveground biomass is difficult to quantify over large areas using traditional techniques, lidar remote sensing holds great promise for biomass estimation because it directly measures components of canopy structure such as canopy height and the vertical distribution of intercepted canopy surfaces.
This may cause noise over-estimation because it cannot provide correction to ( Pleft({H}_1left t,kright Big|{Y}_{t,k}^2rigH}_1left t,kright Big|{
Among them, the block-matching approach is more widely employed in motion estimation, because it is more practical and adaptable.
The bounds (29) prove that this a good estimation because it lies between the upper and lower bounds.
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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