An iterative method for the nonlinear weighted least squares parameter esti
mation when all experimental data are subject to random errors has been dev
eloped. The method does not require any linearization, satisfies Deming's c
riteria and provides the parameter variance-covariance matrix. (C) 1998 Els
evier Science Ltd. All rights reserved.