论文信息 - Evaluation of Parameters in Nonlinear Models By the Least Squares Method

Evaluation of Parameters in Nonlinear Models By the Least Squares Method

Abstract An iterative method for the nonlinear weighted least squares parameter estimation when all experimental data are subject to random errors has been developed. The method does not require any linearization, satisfies Deming's criteria and provides the parameter variance-covariance matrix.

Ján Mikulás Lisý | Peter Simon | J. Lisý | P. Simon

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