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Zhao and Zytner [28] proposed a method estimation of the optimal stop time of extraction system based on extracted gas concentration curve.
In order to apply a two-stage up-scaling method ("Estimation of AGB and uncertainties at national scale with LiDAR-AGB as calibration data" section), we first estimated AGB along the LiDAR strips with the Cubist machine learning algorithm.
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We note that, for both proposed SMC methods, estimation of the AR parameters is more accurate than of the MA parameters.
We have described this analysis in Methods (Estimation of evolutionary rate and detection of positive selection).
JS – design of the statistical methods, estimation of genes effects, participation in drafting the manuscript.
In Section 5.3 we described a simple method of estimation of the source spectrum.
In the present study, non-destructive method of estimation of AGB was used.
We also investigate the ability of our method in estimation of the all-pole filter parameters.
This paper proposes a design method of estimation of the Laguerre time scaling factor in the predictive control context.
However, there is still no straightforward and rigorous analytical method of estimation of the Weibull parameters and the mean life.
The conventional method for estimation of generated wastewater is derived at 80%% of the water supplied.
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