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Challenges remain in quantifying error of remote sensing-based LFMC estimations and linking LFMC to fire behavior and risk.
Derivation of two lumped parameters, representing the coefficient of accumulation of a contaminant from an environmental fluid and the coefficient of subsequent recovery of its mass from the sampler, produced a conceptual framework for quantifying error sources in concentration data derived from accumulative samplers.
A method for quantifying error rates, sensitivity, and specificity of the entire testing algorithm is being developed.
Quantifying error using normalized branch-score distance (nBS), which accounts for both topological and branch-length errors, showed very similar trends to those seen with the nRF measure (Additional file 4: Figure S3).
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Quantifying errors allows researchers to qualify the uncertainty of the estimation method in a better way.
The present paper addresses the challenge of conducting Finite Element (FE) micromechanical simulations based on 3D X-ray data, and quantifying errors between simulations and experiments.
The NEXT-peak program stands alone in quantifying errors by reporting a standard error for its estimates of binding intensity.
In this study we focused on identifying and quantifying errors in the handwritten drug ordering and dispensing documentation processes which could possibly lead to adverse drug events.
The use of numerical simulations is advantageous because maps of flux from the temperature proxy method can be compared to known flux maps to quantify error.
Sensitivity analyses were performed to identify important model parameters and quantify error in model estimates caused by inaccurate input data used during deterministic simulations.
To quantify error rates across loci, 95 duplicate samples were run and genotypes were compared.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com