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Uncertainty Quantification for Decision-Making in Engineered Systems
16 references·1 citing·25 second hop
Uncertainty Quantification for Decision-Making in Engineered Systems (2012)Uncertainty Quantification for Decision-M…Simulation and the Monte Carlo Method (2016)Simulation and the Monte Carl…Stochastic Approaches to Uncertainty Quantification in CFD Simulations (2005)Stochastic Approaches to Unce…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …Probability, Reliability and Statistical Methods in Engineering Design (2001)Probability, Reliability and …Reliability Assessment Using Stochastic Finite Element Analysis (2000)Reliability Assessment Using …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems (1998)Stochastic Response Surface M…An efficient method for parametric uncertainty analysis of numerical geophysical models (1997)An efficient method for param…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Simulation and the Monte Carlo Method (1981)Simulation and the Monte Carl…Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Statistics for Experimenters:…Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Statistics for experimenters.…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Experimental Measurements: Precision, Error and Truth (1967)Experimental Measurements: Pr…Quantification of Uncertainty in the Mathematical Modelling of a Multivariable Suspension Strut Using Bayesian Interval Hypothesis-Based Approach (2018)Quantification of Uncertainty…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Fast Numerical Methods for Stochastic Computations: A Review (2009)Quality Engineering Using Robust Design (1991)Response Surfaces: Designs and Analyses (1997)Automobile Prices in Market Equilibrium (1995)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Design and Analysis of Experiments (1998)Model-based design of experiments for parameter precision: State of the art (2007)Necessary Condition Analysis (NCA) (2015)Exponential smoothing: The state of the art (1985)Using daily stock returns (1985)A New Study on Reliability-Based Design Optimization (1999)Verification, validation, and predictive capability in computational engineering and physics (2004)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1977Time Series Analysis: Forecasting and Control6,446 cited
  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 1978Statistics for experimenters. An introduction to design, data analysis, and model building.4,021 cited
  • 2016Simulation and the Monte Carlo Method3,356 cited
  • 1981Simulation and the Monte Carlo Method2,402 cited
  • 1979Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building.2,003 cited
  • 2003Modeling uncertainty in flow simulations via generalized polynomial chaos1,428 cited
  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 2000Reliability Assessment Using Stochastic Finite Element Analysis524 cited
  • 1998Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems387 cited
  • 2001Probability, Reliability and Statistical Methods in Engineering Design348 cited
  • 1997An efficient method for parametric uncertainty analysis of numerical geophysical models334 cited

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2005
Stochastic Approaches to Uncertainty Quantification in CFD Simulations
281 cited
  • 1967Experimental Measurements: Precision, Error and Truth237 cited
  • Cited by

    • 2018Quantification of Uncertainty in the Mathematical Modelling of a Multivariable Suspension Strut Using Bayesian Interval Hypothesis-Based Approach6 cited