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For electromechanical oscillation estimation, since the length of measured data is limited, some Monte Carlo methods like bootstrap are preferred to evaluate the estimates [24-26] [24-26]
Further, a nonlinear regression was carried out (using POLMATH 6.0 with Levenberg Marquardt algorithm for approximating the objective function) with the models from Table 2 using methane steam reforming data (cf. Fig. 7a, b) [22] to evaluate the estimates,( K_{{{text{CH}}_{ 4} }} ) ( K_{{{text{H}}_{ 2} {text{O}}}} ) and ( k_{text{rxn}}. ) The results from this exercise are provided in Table 3.
This paper used simulation methods to evaluate the estimates of the von Bertalanffy growth parameters outside the assessment model using the traditional method and a length-conditional method based on an equilibrium approximation to the population age structure derived from an estimate of the total mortality rate.
Nonetheless, we evaluate the estimates produced by potentially biased approaches to explore how they compare with the unbiased approaches.
A Monte Carlo simulation study was carried out to evaluate the estimates provided by the dnIGE model over a range of scenarios that are realistic for livestock populations.
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For interval estimation on the model parameters, we can evaluate the estimated observed information matrix (J widehat {boldsymbol {theta }})) numerically.
We use the procedure NLMixed in SAS to evaluate the estimate (widehat {{boldsymbol {theta }}}).
In order to evaluate the estimated trajectory with respect to the actual, recorded one, we use two different metrics, namely the Hausdorff and the Fréchet distance.
To evaluate the estimated result more clearly, the impedance of the first trace from Figs. 14 and 15 is displayed in Figs. 16 and 17.
Tracer quantification and residence time of 111In-OTSA101 in VOI were used to evaluate the estimated absorbed doses per MBq of 90Y-OTSA101 by means of Monte Carlo simulations (GATE).
Given that it is practically impossible to evaluate the estimated throughput at each point inside the containing circle (there are infinitely many points), therefore, we define a grid of points inside the circle as shown in Fig. 6.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com