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The bootstrapping estimation method is applied to estimate the model parameters.
In the first phase, a least-squares method is applied to estimate the span-output-weight on the basis of the fixed randomly generated initialized weight values.
In this work, the exergy method is applied to estimate the effect of the most important process parameters on the exergy efficiency of industrial ammonia synthesis.
The ensemble Kalman filter (EnKF) method is applied to estimate the connectivity coefficients for each layer and the well index numbers in the MLCRMs.
This method is applied to estimate the dissipation rate along the center plane of a stirred vessel with an axial 45° pitched-blade turbine.
In contrast, the theoretical distribution of the single hydrological model parameter is unknown; consequently, a bootstrap method is applied to estimate the calibration uncertainties.
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Finally, the method was applied to estimate the material properties of tissue-engineered constructs.
ε NTU method was applied to estimate the heat exchanger pressure drop and effectiveness.
Finally, the Bartlett method was applied to estimate the factor scores (Gorsuch, 1983).
The 2ΔΔCt method was applied to estimate the difference in the expression of the three genes between the samples.
Kaplan Meier product-limit method was applied to estimate the elapsed time without cancer at different CA levels.
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