This chapter discusses the class of moment independent importance measures. This class comprises density-based, cumulative distribution function based and value of information based sensitivity measures. The chapter illustrates the definition and properties of these importance measures as they have been proposed in the literature, reviewing a common rationale that envelops them, as well as recent results that concern the general properties of global sensitivity measures. The final part of the chapter reviews importance measures developed in the context of reliability theory
Moment independent importance measures have been proposed by E. Borgonovo in order to alleviate some...
Reliability importance measures provide useful insight in system performance (reliability, availabil...
International audienceThe moment-independent sensitivity analysis technique introduced by E. Borgono...
This article presents new sensitivity measures in reliability-oriented global sensitivity analysis. ...
This unique treatment systematically interprets a spectrum of importance measures to provide a compr...
Moment independent methods for the sensitivity analysis of model output are attracting growing atten...
This paper presents a work on the study of importance measures in presence of uncertainties originat...
Moment independent methods for the sensitivity analysis of model output are attracting growing atten...
Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in mo...
This paper presents the development of the differential importance measures (DIM), proposed recently...
AbstractThe numerical and computational aspects underlying the approximation of moment independent s...
In many industries, system reliability needs assuring at the design stage and improving at the opera...
Uncertainty importance measures are quantitative tools aiming at identifying the contribution of un...
Modern digital systems pose new challenges to reliability analysts. Systems may exhibit a non-cohere...
International audienceImportance measures have been widely used as important decision-aiding indicat...
Moment independent importance measures have been proposed by E. Borgonovo in order to alleviate some...
Reliability importance measures provide useful insight in system performance (reliability, availabil...
International audienceThe moment-independent sensitivity analysis technique introduced by E. Borgono...
This article presents new sensitivity measures in reliability-oriented global sensitivity analysis. ...
This unique treatment systematically interprets a spectrum of importance measures to provide a compr...
Moment independent methods for the sensitivity analysis of model output are attracting growing atten...
This paper presents a work on the study of importance measures in presence of uncertainties originat...
Moment independent methods for the sensitivity analysis of model output are attracting growing atten...
Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in mo...
This paper presents the development of the differential importance measures (DIM), proposed recently...
AbstractThe numerical and computational aspects underlying the approximation of moment independent s...
In many industries, system reliability needs assuring at the design stage and improving at the opera...
Uncertainty importance measures are quantitative tools aiming at identifying the contribution of un...
Modern digital systems pose new challenges to reliability analysts. Systems may exhibit a non-cohere...
International audienceImportance measures have been widely used as important decision-aiding indicat...
Moment independent importance measures have been proposed by E. Borgonovo in order to alleviate some...
Reliability importance measures provide useful insight in system performance (reliability, availabil...
International audienceThe moment-independent sensitivity analysis technique introduced by E. Borgono...