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Experimental data were measured by 20 accelerometers mounted at the cantilever beam: among these accelerometers, three of these were assumed to be measured, and the others were used to check the estimation accuracy of the proposed method.
To check the estimation performance of the developed algorithms in a non-linear measurement framework, we intentionally choose b≠1.
To check the estimation error of the focal mechanism of our MT results, we evaluated the variance reductions of F-net displacement waveforms between observations and simulations of a double-couple point source with a fixed seismic moment and centroid depth but changing strike, dip, and rake angles (Fig. 9).
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Since it was established that the distribution of error terms in different models was not normal, we checked the estimation results using the assumption of Student's t-distribution for the error terms.
The duality between the GEV and GPD provides a new approach to check the consistency of the estimation of the tail characteristics of the distribution of earthquake magnitudes for earthquakes occurring over arbitrary time intervals.
In order to check the reliability of the estimation of t, we have verified that smaller values of t do not provide a better fit of data (in terms of log-likelihood); then, we have investigated the stability of the parameter t by changing the minimum magnitude.
To check the performance in colour estimation, mandarins in different maturity grades were used.
Hence, to check the validity of our estimation we have to prove that stationary panel data techniques are appropriate given the integration order of our variables.
In order to check the robustness of the time estimation on the choice of the substitution model, the codon-substitution [21], [22]+Γ5 model was also used.
Estimated parameters of mutational bias and selection coefficients between the FMutSel-M0 and the FMutSel-M3 model were compared to check the consistency of the likelihood estimation.
I use four additional specifications to check the robustness of the findings from the estimation of (9).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com