Equation error versus output error methods

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<rdf:Description>
<dc:creator>Tomita, Yutaka</dc:creator>
<dc:creator>Damen, Ad A.H.</dc:creator>
<dc:creator>Hof, Paul M.J. van den</dc:creator>
<dc:date>1992-05-01</dc:date>
<dc:description xml:lang="es">Sumario: 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</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/47185.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Ergonomía</dc:subject>
<dc:subject xml:lang="es">Factor humano</dc:subject>
<dc:subject xml:lang="es">Comportamiento humano</dc:subject>
<dc:subject xml:lang="es">Error humano</dc:subject>
<dc:subject xml:lang="es">Cálculo de probabilidades</dc:subject>
<dc:subject xml:lang="es">Ecuaciones matemáticas</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Equation error versus output error methods</dc:title>
<dc:title xml:lang="es">Título: Ergonomics</dc:title>
<dc:relation xml:lang="es">En: Ergonomics. - London and Washington. - Vol. 35, nº 5-6, May-June 1992 ; p. 551-564</dc:relation>
</rdf:Description>
</rdf:RDF>