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  • Sensitivity analysis (SA) is the study of how the variation (uncertainty) in the output of a mathematical model can be apportioned, qualitatively or quantitatively, to different sources of variation in the input of a model In more general terms uncertainty and sensitivity analyses investigate the robustness of a study when the study includes some form of mathematical modelling While uncertainty analysis studies the overall uncertainty in the conclusions of the study, sensitivity analysis tries to identify what source of uncertainty weights more on the study's conclusions For example, several guidelines for modelling (see eg one from the US EPA) or for impact assessment (see one from the European Commission) prescribe sensitivity analysis as a tool to ensure the quality of the modelling/assessment The problem setting in sensitivity analysis has strong similarities with design of experiments In design of experiments one studies the effect of some process or intervention (the 'treatment') on some objects (the 'experimental units') In sensitivity analysis one looks at the effect of varying the inputs of a mathematical model on the output of the model itself In both disciplines one strives to obtain information from the system with a minimum of physical or numerical experiments In uncertainty and sensitivity analysis there is a crucial trade off between how scrupulous an analyst is in exploring the input assumptions and how wide the resulting inference may be The point is well illustrated by the econometrician Edward E Leamer (1990) : I have proposed a form of organized sensitivity analysis that I call ‘global sensitivity analysis’ in which a neighborhood of alternative assumptions is selected and the corresponding interval of inferences is identified Conclusions are judged to be sturdy only if the neighborhood of assumptions is wide enough to be credible and the corresponding interval of inferences is narrow enough to be useful Note Leamer’s emphasis is on the need for 'credibility' in the selection of assumptions The easiest way to invalidate a model is to demonstrate that it is fragile with respect to the uncertainty in the assumptions or to show that its assumptions have not been taken 'wide enough' The same concept is expressed by Jerome R Ravetz, for whom bad modeling is when uncertainties in inputs must be suppressed lest outputs become indeterminate In modern econometrics the use of sensitivity analysis to anticipate criticism is the subject of one of the ten commandments of applied econometrics (from Kennedy, 2007
  • Die Sensitivitätsanalyse, auch als Sensibilitätsanalyse bekannt, ist eine Analyseform für komplexe Systeme und Probleme, bei der einfache Wirkbeziehungen zwischen Systemvariablen zu einem Wirkungsnetz verbunden werden und mittels dessen Rollen für die Systemvariablen festgelegt werden können.
  • Herkkyysanalyysi on mallin tuloksen epävarmuuden arvioimista. Sen avulla pyritään selvittämään joko numeerisesti tai laadullisesti, kuinka herkkä mallin tulos on eri lähtöoletusten muuttamiselle. Esimerkiksi jos ennustetaan joen tulvimista mallilla, herkkyysanalyysilla voidaan arvioida sademäärän mittausvirheen vaikutusta ennusteiden laatuun. Herkkyysanalyysia käytetään usein taloudellisten laskelmien kuten kustannus-hyötyanalyysin yhteydessä.
  • A análise de sensibilidade procura determinar o efeito de uma variação de um determinado item no seu valor total. Pode ser um instrumento útil em diferentes áreas para determinar a importância de uma variável sobre o resultado final de outra.
  • 敏感度分析是使模型的變數在某特定範圍內變動，以觀察模型行為或變化情形的一種分析方式。 模型的評估總是存在著風險；敏感度分析有助於降低此風險。一般而言，如果變數異動時，模型的變化不大，代表模型是可靠的；反之，代表模型可能存在著風險。
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  • Die Sensitivitätsanalyse, auch als Sensibilitätsanalyse bekannt, ist eine Analyseform für komplexe Systeme und Probleme, bei der einfache Wirkbeziehungen zwischen Systemvariablen zu einem Wirkungsnetz verbunden werden und mittels dessen Rollen für die Systemvariablen festgelegt werden können.
  • Herkkyysanalyysi on mallin tuloksen epävarmuuden arvioimista. Sen avulla pyritään selvittämään joko numeerisesti tai laadullisesti, kuinka herkkä mallin tulos on eri lähtöoletusten muuttamiselle. Esimerkiksi jos ennustetaan joen tulvimista mallilla, herkkyysanalyysilla voidaan arvioida sademäärän mittausvirheen vaikutusta ennusteiden laatuun. Herkkyysanalyysia käytetään usein taloudellisten laskelmien kuten kustannus-hyötyanalyysin yhteydessä.
  • A análise de sensibilidade procura determinar o efeito de uma variação de um determinado item no seu valor total. Pode ser um instrumento útil em diferentes áreas para determinar a importância de uma variável sobre o resultado final de outra.
  • 敏感度分析是使模型的變數在某特定範圍內變動，以觀察模型行為或變化情形的一種分析方式。 模型的評估總是存在著風險；敏感度分析有助於降低此風險。一般而言，如果變數異動時，模型的變化不大，代表模型是可靠的；反之，代表模型可能存在著風險。
rdfs:label
  • Sensitivity analysis
  • Sensitivitätsanalyse
  • Herkkyysanalyysi
  • Análise de sensibilidade
  • 敏感度分析
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