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end{array} (64) Central DOA estimation via the covariance-fitting-based method: we estimate the central angles (hat {bar {boldsymbol {theta }}}(t)) via the covariance-fitting-based algorithm as described in the previous subsection.
For example, in KDE method, we estimate the density of crashes.
Using a camera trap-based sampling method, we estimate tiger density in two primary-selectively logged forest areas that straddle Kerinci Seblat National Park, Sumatra.
With the method, we estimate a particle weight of each test particle by comparing the initial flux with test particle distributions.
Using the least-squares method, we estimate α = 2.8 and β = 1.6 in the range of 1.5 ≤ M JMA < 4.5 (red line in Fig. 5).
Using a recently developed method, we estimate the additive and dominance components of variance or, equivalently, the narrow and broad sense heritabilities of several traits in the Hutterites, a founder population with extensive genealogical records.
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By applying the proposed method, we estimated sonic and density logs.
Under our standard NE calculation method, we estimated less than 15% of residues that are required for paralogous gene functional divergence.
Using the PAMUS method, we estimated the abundance of extracellular lignocellulolytic proteins secreted by two T. reesei strains in response to various carbon sources.
With this method, we estimated that 3-fold less CTA1 was in the cytosol of PBA-treated cells than in the cytosol of untreated control cells.
Using this method, we estimated 8.5 ± 3.5 molecules/vesicle.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com