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Inverse probabilistic modelling of the sources of uncertainty: a non-parametric simulated-likelihood method with application to an industrial turbine vibration assessment
16 references·0 citing·35 second hop
Inverse probabilistic modelling of the sources of uncertainty: a non-parametric simulated-likelihood method with application to an industrial turbine vibration assessment (2009)Inverse probabilistic modelling of the so…Simulation and the Monte Carlo Method (2016)Simulation and the Monte Carl…Simulation and the Monte Carlo Method (2007)Simulation and the Monte Carl…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Random matrix theory for modeling uncertainties in computational mechanics (2004)Random matrix theory for mode…Alternative representations of epistemic uncertainty (2004)Alternative representations o…Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …A nonparametric model of random uncertainties for reduced matrix models in structural dynamics (2000)A nonparametric model of rand…Uncertainties in risk analysis: Six levels of treatment (1996)Uncertainties in risk analysi…Guest editorial: treatment of aleatory and epistemic uncertainty in performance assessments for complex systems (1996)Guest editorial: treatment of…A review of techniques for parameter sensitivity analysis of environmental models (1994)A review of techniques for pa…Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Uncertainty and sensitivity a…Uncertainty (1990)UncertaintyThe Concept of Probability in Safety Assessments of Technological Systems (1990)The Concept of Probability in…Simulation and the Monte Carlo Method (1981)Simulation and the Monte Carl…Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sensitivity Analysis for Chemical Models (2005)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Theory of Games and Economic Behavior (1945)Risk, Ambiguity, and the Savage Axioms (1961)Judgment Under Uncertainty: Heuristics and Biases. (1984)Error and uncertainty in modeling and simulation (2002)Challenge problems: uncertainty in system response given uncertain parameters (2004)Verification, validation, and predictive capability in computational engineering and physics (2004)Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)Rank Correlation Methods. (1957)Statistical principles in experimental design. (1962)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A new uncertainty importance measure (2006)Sensitivity analysis practices: Strategies for model-based inference (2006)Variable importance analysis: A comprehensive review (2015)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Automobile Prices in Market Equilibrium (1995)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Tools for Composite Indicators Building (2005)Econometric Tools for Analyzing Market Outcomes (2007)Metamodel-based importance sampling for structural reliability analysis (2013)Everything you need to know about agent-based modelling and simulation (2016)A New Study on Reliability-Based Design Optimization (1999)Risk Perception and Communication Unplugged: Twenty Years of Process1 (1995)Eliciting Expert Knowledge in Conservation Science (2012)
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References

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265 cited
  • 1996Guest editorial: treatment of aleatory and epistemic uncertainty in performance assessments for complex systems255 cited
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