A sequentially decoupling least-squares procedure for Box-Jenkins models is consistent and, after one Gauss-Newton step, asymptotically equivalent to the prediction error method when the auxiliary ARX order grows appropriately.
The iden tification of time series models of lower extremity EMG for the control of prostheses u sing Box–Jenkins criteria
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Sequentially decoupling estimators for Box-Jenkins model estimation
A sequentially decoupling least-squares procedure for Box-Jenkins models is consistent and, after one Gauss-Newton step, asymptotically equivalent to the prediction error method when the auxiliary ARX order grows appropriately.