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The parameters of the model were estimated using least squares estimation.
The parameters of the model were estimated with maximum likelihood (ML) estimation.
The parameters of the model were estimated by linear regression.
The parameters of the model were estimated using experimental results.
With micro-genetic algorithm, the binary interaction parameters of UNIQUAC model were estimated.
The optical parameters of the Lorentz function model were estimated by the fitting of the absorption spectra of the multilayered AgMy nanosheets.
Input parameters for the model were estimated using primary data from longitudinal epidemiological studies and other published literature, and for some inputs, were indirectly estimated using calibration methods.
The parameters of the kinetic model were estimated using bench-scale monolith isothermal data.
The parameters of the kinetic model were estimated through statistical data fitting.
Kinetic and thermodynamic parameters included in the model were estimated with non-linear regression.
The kinetic parameters involved in the model were estimated using a quasilinearization technique.
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