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Key parameters were estimated using curve estimations and nonlinear regression.
Parameters were estimated using maximum-likelihood estimation.
Subsequently, the parameters were estimated by maximum likelihood estimation.
The parameters were estimated using the maximum likelihood estimator (MLE).
Subsequently, genetic parameters were estimated.
Kinetic parameters were estimated using MATLAB® R2014a.
These parameters were estimated by 95%% confidence.
Other petrophysical parameters were estimated using Eqs.
In this analysis, local parameters were estimated for each plot.
The parameters were estimated using the Zhang calibration method [38].
The model parameters were estimated by the software NLOGIT 4.0.
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