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Therefore, the uncertainty associated with the model parameters is important.

The method of determining the model parameters is presented.

Analysis of Burgers model parameters is also conducted.

A simple technique for extracting the model parameters is described.

A brief sensitivity analysis on model parameters is given.

In [20] a method for direct synthesis of face model parameters is proposed.

The initial population of model parameters is randomly chosen within the given search range.

The knowledge of the noise model parameters is crucial for the task of denoising.

By setting these equations to zero, the maximum likelihood estimate of model parameters is obtained.

In SSALT, the main method of estimating the model parameters is still the MLE [7, 75].

The estimation of the model parameters is carried out by the method of maximum likelihood.