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We used distance sampling techniques to account for variability in detection probability to generate more reliable density estimates than unadjusted counts provide.
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We developed a unifying Bayesian approach that combines both geometry and intensity information for more reliable electron density mapping using MRI (Gudur et al. PMB, 2014).
This scale has proved to be a more reliable way of determining density (i.e., the weight of any given volume of seawater at a specified temperature) than the chlorinity scale traditionally used.
Comparing to traditional Gram Charlier expansion based PLF (GC-PLF) calculation method, the proposed ME-PLF calculation algorithm can obtain more reliable and accurate probabilistic density functions (PDFs) of bus voltages and branch flows in various WT parameter scenarios.
A more reliable model such as the density functional theory yields a pore size of 3.53 nm for our sample [40].
The novel contributions of this article are threefold: Proposal of the high sensitivity wake-up radio design that improves sensitivity, reduces the deployment density, is more reliable and suitable to sensor networks than other low sensitivity wake-up radios.
They found that ER-EOS was more reliable than PR-EOS to predict density of the studied gas condensate [20].
Although somewhat less intuitive than vascular density measures, the median of these distances provides a much more reliable method for quantifying changes in vascular spacing than does vascular density when using automated image analysis techniques.
The MAP criterion shows advantage in obtaining a more reliable gain function by incorporating a suitable prior density.
CMs are concluded to yield more reliable kinetic estimates because of much higher data density stemming from long-term, steady-state conditions.
Measuring water by weight (grams) is more reliable than measuring by volume (ounces), since the density of water changes when heated.
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