dataset · 2018
uncertainty: Uncertainty Estimation and Contribution Analysis
Hugo Gasca-Aragon
Cited by 0Open access
Abstract
Implements the Gaussian method of first and second order, the Kragten numerical method and the Monte Carlo simulation method for uncertainty estimation and analysis.Depends graphics (>= 3.4.0),stats (>= 3.4.0),mvtnorm (>= 0.9), triangle (>= 0.7), R (>= 3.4.0)
Cite this paper
Gasca-Aragon, H. (2018). uncertainty: Uncertainty Estimation and Contribution Analysis. https://doi.org/10.32614/cran.package.uncertainty
Gasca-Aragon, Hugo. “uncertainty: Uncertainty Estimation and Contribution Analysis.” 2018, https://doi.org/10.32614/cran.package.uncertainty.
Gasca-Aragon, Hugo. 2018. “uncertainty: Uncertainty Estimation and Contribution Analysis.” https://doi.org/10.32614/cran.package.uncertainty.
Gasca-Aragon, H. (2018) ‘uncertainty: Uncertainty Estimation and Contribution Analysis’. Available at: https://doi.org/10.32614/cran.package.uncertainty.
@misc{gascaaragon2018uncertainty,
title = {{uncertainty: Uncertainty Estimation and Contribution Analysis}},
author = {Gasca-Aragon, Hugo},
year = {2018},
doi = {10.32614/cran.package.uncertainty}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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