SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Comparison of Maximus/Bounding and Bayes/Monte Carlo for fault tree uncertainty analysis
0 references·4 citing·19 second hop
Comparison of Maximus/Bounding and Bayes/Monte Carlo for fault tree uncertainty analysis (1986)Comparison of Maximus/Bounding and Bayes/…Introducing the nth-Order Features Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (nth-FASAM-N): I. Mathematical Framework (2024)Introducing the nth-Order Fea…Global importance measure methodology for integrated probabilistic risk assessment (2019)Global importance measure met…Indices de Sobol généralisés par variables dépendantes (2013)Indices de Sobol généralisés …A systematic framework for effective uncertainty assessment of severe accident calculations; Hybrid qualitative and quantitative methodology (2013)A systematic framework for ef…Importance measures in global sensitivity analysis of nonlinear models (1996)Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Models, Methods, Concepts & Applications of the Analytic Hierarchy Process (2012)A Bayesian ensemble of sensitivity measures for severe accident modeling (2015)Success criteria analysis in support of probabilistic risk assessment for nuclear power plants: application on SGTR accident (2017)A novel framework for quantitative resilience assessment in complex engineering systems during early and late design stages (2024)On The Quantitative Definition of Risk (1981)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Methodological and Practical Comparison of Integrated Probabilistic Risk Assessment (I-PRA) with the Existing Fire PRA of Nuclear Power Plants (2018)Integrated Risk-Informed Design (I-RID) methodological framework and computational application for FLEX equipment storage buildings of Nuclear Power Plants (2019)Computationally efficient Complete-Sampling-based fault tree analyses for seismic probabilistic safety assessment of nuclear facilities (2024)Nonlinear sensitivity analysis of multiparameter model systems (1978)An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment (1981)An Approach to Sensitivity Analysis of Computer Models: Part II—Ranking of Input Variables, Response Surface Validation, Distribution Effect and Technique Synopsis (1981)A NEW MEASURE OF RANK CORRELATION (1938)Design and Analysis of Computer Experiments (1989)An Introduction to Copulas (1999)Insights of Global Sensitivity Analysis in Biological Models with Dependent Parameters (2018)
this work references cited by second hop

References

No references inside the corpus for this window.

Cited by

  • 2019Global importance measure methodology for integrated probabilistic risk assessment24 cited
  • 2013A systematic framework for effective uncertainty assessment of severe accident calculations; Hybrid qualitative and quantitative methodology20 cited
  • 2024Introducing the nth-Order Features Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (nth-FASAM-N): I. Mathematical Framework11 cited
  • 2013Indices de Sobol généralisés par variables dépendantes6 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work