SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs
10 references·2 citing·37 second hop
Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs (2005)Sampling plans based on balanced incomple…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Sensitivity Anaysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ing…Evaluating prediction uncertainty (1995)Evaluating prediction uncerta…Sensitivity analysis of model output (1993)Sensitivity analysis of model…Minimax and maximin distance designs (1990)Minimax and maximin distance …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Some New Three Level Designs for the Study of Quantitative Variables (1960)Some New Three Level Designs …Making the best use of permutations to compute sensitivity indices with replicated orthogonal arrays (2018)Making the best use of permut…Using Orthogonal Arrays in the Sensitivity Analysis of Computer Models (2008)Using Orthogonal Arrays in th…An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment (1981)An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques (1990)Sensitivity analysis and related analyses: A review of some statistical techniques (1997)Statistical analyses of scatterplots to identify important factors in large-scale simulations, 1: Review and comparison of techniques (1999)Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainment of Optimum Conditions (1992)Model-Dependent Variance Inflation Factor Cutoff Values (2002)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Sensitivity analysis of normative economic models: theoretical framework and practical strategies (1997)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification (2015)Statistics for Experimenters (1979)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Handbook on Constructing Composite Indicators (2005)Global sensitivity analysis using polynomial chaos expansions (2007)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)Sensitivity Analysis for Chemical Models (2005)Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators (2005)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Importance measures in global sensitivity analysis of nonlinear models (1996)A new uncertainty importance measure (2006)Bayesian analysis of computer code outputs: A tutorial (2006)How to avoid a perfunctory sensitivity analysis (2010)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Exploratory designs for computational experiments (1995)An efficient algorithm for constructing optimal design of computer experiments (2004)Response Surface Methodology: A Retrospective and Literature Survey (2004)Identification and Review of Sensitivity Analysis Methods (2002)Model-based design of experiments for parameter precision: State of the art (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1960Some New Three Level Designs for the Study of Quantitative Variables4,189 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 2000Sensitivity Anaysis as an Ingredient of Modeling607 cited
  • 1993Sensitivity analysis of model output185 cited
  • 1995Evaluating prediction uncertainty151 cited

Cited by

  • 2008Using Orthogonal Arrays in the Sensitivity Analysis of Computer Models43 cited
  • 2018Making the best use of permutations to compute sensitivity indices with replicated orthogonal arrays14 cited

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