Zusammenfassung
Mathematische Modelle von realen Systemen (medizinisch, physikalisch, …) basieren meist auf einer Vielzahl von komplexen, nichtlinearen und gekoppelten Gleichungssystemen. Voraussetzung für eine sinnvolle Analyse dieser Gleichungssysteme ist ein umfangreiches Verständnis von dem Einfluss der Varianz der Eingangsvariablen x auf die Varianz der betrachteten Ausgangsgrößen y. In diesem Zusammenhang werden unter dem Begriff Sensitivitätsanalyse (SA) Verfahren bezeichnet, die Kenngrößen ermitteln, welche den Zusammenhang zwischen der Varianz der Eingangsgrößen \(x = \left( {x_{1} , \cdots x_{n_f} } \right)\) und der Varianz der Ausgangsgröße y ermitteln.
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Siebertz, K., van Bebber, D., Hochkirchen, T. (2010). Sensitivitätsanalyse. In: Statistische Versuchsplanung. VDI-Buch(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05493-8_10
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DOI: https://doi.org/10.1007/978-3-642-05493-8_10
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