Symmetrical design for symmetrical global sensitivity analysis of model output
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Publication:5106971
DOI10.1080/00949655.2017.1343333zbMath1492.62127OpenAlexW2628380166MaRDI QIDQ5106971
Publication date: 22 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2017.1343333
Nonparametric hypothesis testing (62G10) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (4)
Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis ⋮ \(A\)-optimal designs for non-parametric symmetrical global sensitivity analysis ⋮ Optimal space-filling design for symmetrical global sensitivity analysis of complex black-box models ⋮ Sliced symmetrical Latin hypercube designs
Cites Work
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- Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
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- The effective dimension and quasi-Monte Carlo integration
- Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs
- Symmetrical Design of Experiment in Global Sensitivity Analysis Based on ANOVA High-dimensional Model Representation
- A screening approach for non-parametric global sensitivity analysis
- On the distribution of points in a cube and the approximate evaluation of integrals
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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