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Results clearly show that models constructed from LiDAR provide the most precise means of estimating the 300 Index.
Analysis in [27] shows that CBT is the most precise means of measuring the utilization of channels in wireless networks, which can be acquired by passive monitoring, without introducing overhead into the networks.
Accordingly, the development of new effective treatment strategies presents the challenge of finding the most precise means of comparing the efficacy of different therapies.
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For models including stand age, the inclusion of LiDAR resulted in the most precise model (mean R 2 = 0.789; root mean square error (RMSE) = 2.48 m3 ha−1 year−1) while for models without stand age, metrics extracted from both satellite imagery and environmental layers produced the most precise model of the 300 Index (R 2 = 0.65; RMSE = 3.21 m3.21−1 year−1).
One of the most accurate and precise means of assessing exposure is to measure the level of the toxicant or its primary metabolite in a biologic specimen; this has been defined as measuring the internal dose.
The most precise model of mean height was developed using textural attributes and had a coefficient of determination of 0.93 (Shamsoddini et al. 2013).
Of the three registration methods, MMRI-M measured the precision of zero motion most precise, with a maximal mean error of 0.128 mm for translation (maximal σ 0.931 mm) and of 0.152° for rotation (maximal σ 1.630°).
For sX and sY, the estimates are most precise when a geometric mean with a 95% CI is reported, and least precise when a median with a range is reported.
For the purpose to obtain the most precise estimate of the overall mean, we compute a weighted mean, where the weight assigned to each study is the inverse of that study's variance [29]: {W}_i^=frac{1}{V_{Yi}^ (1 where ( {V}_{Yi}^={V}_{Yi}+{T}^2 ), in which V Yi is the variance within-study for study i and T 2 is the variance between-studies.
By what means can the most precise and complete knowledge of a literary work be arrived at?
Similarly, youth were grouped into quartiles of carbohydrate counting precision: Q1 (most precise) to Q4 (least precise).
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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