With a simple mathematical model we estimated emissivities of ε~0.995 for each source.
In the Drift Criterion model, we estimated a parameter for drift criterion, which was allowed to vary from run to run.
Using the model, we estimated the best- and the worst-case latencies for traffic patterns taken from several parallel application benchmarks.
From the buckling-hinge model we estimated γ=0.44, and D=0.85 pN m rad−1 in the elastic regime (α<αbh), while from FEM simulation we determined as best-fit of the AFM experiment a Young's modulus of E=270 GPa (refs 37, 38), which was not known a priori.
In deriving the CHAOS-6l time-dependent field model, we estimated 28,766 model parameters from 7,481,013 observations.
Based on the estimated fault model, we estimated the effect of crustal deformation on the Aso magma system using FEM.
In the first model, we estimated linear and quadratic associations of the Big Five domains with the six life outcomes.
In the second model, we estimated the associations between the basic competencies (literacy and numeracy) and the six life outcomes.
Within the model, we estimated 316 ha were treated over a 4-year period between 2004 and 2007 [37].
Using this improved numerical model, we estimated the ejection conditions and the landing velocity and energy of ballistic projectiles released during 2014 Mount Ontake eruption.
Using dielectric model, we estimated the asymmetry of nanoparticles emitting near PL maximum for the sample treated in HF solution for 5 min.
