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Equation error versus output error methods

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      <subfield code="a">Equation error versus output error methods</subfield>
      <subfield code="c">Yutaka Tomita, Ad A.H. Damen and Paul M.J. Van Den Hof</subfield>
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      <subfield code="a">For the identification of linear processes on the basis of ARX-models, equation error least squarres (EELS) (often indicated as the one step ahead prediction error method) is frequently used rather than output error least squares (OELS). In this paper the performance of the estimated models for one step ahead prediction and for simulation will be analysed and compared</subfield>
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      <subfield code="t">Ergonomics</subfield>
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      <subfield code="g">Vol. 35, nº 5-6, May-June 1992 ; p. 551-564</subfield>
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