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Equation error versus output error methods

 
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<title>Equation error versus output error methods</title>
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<title>Ergonomics</title>
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<namePart>Tomita, Yutaka</namePart>
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<namePart>Damen, Ad A.H.</namePart>
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<namePart>Hof, Paul M.J. van den</namePart>
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<dateIssued encoding="marc">1992</dateIssued>
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<abstract displayLabel="Summary">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</abstract>
<note type="statement of responsibility">Yutaka Tomita, Ad A.H. Damen and Paul M.J. Van Den Hof</note>
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<topic>Factor humano</topic>
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<topic>Comportamiento humano</topic>
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<subject authority="lcshac" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080562250">
<topic>Error humano</topic>
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<subject authority="lcshac" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080616106">
<topic>Cálculo de probabilidades</topic>
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<topic>Ecuaciones matemáticas</topic>
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<title>Ergonomics</title>
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<publisher>London and Washington</publisher>
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<text>Vol. 35, nº 5-6, May-June 1992 ; p. 551-564</text>
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