Výsledky vyhledávání - "Random balance design"

Methods for global sensitivity analysis in life cycle assessment

Autor: Eddie A.M. Bokkers, Reinout Heijungs, Imke J.M. de Boer, E.A. Groen

Publikováno v: International Journal of Life Cycle Assessment, 22(7), 1125-1137
The International Journal of Life Cycle Assessment, 22(7), 1125-1137
Groen, E A, Bokkers, E A M, Heijungs, R & de Boer, I J M 2017, ' Methods for global sensitivity analysis in life cycle assessment ', International Journal of Life Cycle Assessment, vol. 22, no. 7, pp. 1125-1137 . https://doi.org/10.1007/s11367-016-1217-3
The International Journal of Life Cycle Assessment 22 (2017) 7
International Journal of Life Cycle Assessment
International Journal of Life Cycle Assessment, 22(7), 1125-1137. Springer Science + Business Media

Purpose: Input parameters required to quantify environmental impact in life cycle assessment (LCA) can be uncertain due to e.g. temporal variability or unknowns about the true value of emission factors. Uncertainty of environmental impact can be anal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::362a84391e0830d9861f97190af891ef
https://doi.org/10.1007/s11367-016-1217-3

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Bias correction for the estimation of sensitivity indices based on random balance designs

Autor: Jean-Yves Tissot, Clémentine Prieur

Publikováno v: Reliability Engineering and System Safety
Reliability Engineering and System Safety, Elsevier, 2012, 107, pp.205-213. ⟨10.1016/j.ress.2012.06.010⟩
Reliability Engineering and System Safety, 2012, 107, pp.205-213. ⟨10.1016/j.ress.2012.06.010⟩

Special Issue: SAMO 2010; International audience; In this paper, we present a general way to correct a positive bias which occurs in all the estimators in random balance design method (RBD) and in its hybrid version, RBD-FAST. Both these techniques d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee3e2672b501d42fdddc695deb55dd52
https://doi.org/10.1016/j.ress.2012.06.010

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Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Autor: Zhu, Ting

The goal of the present PhD research is to establish a methodology of nuclear data uncertainty quantification (NDUQ) for MCNPX, the continuous-energy Monte-Carlo (M-C) code. The high fidelity (continuous-energy treatment and flexible geometry modelli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5706fb34c79989ba49fc2ce92d441dc4

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Variance-based sensitivity analysis using harmonic analysis

Autor: Tissot, Jean-Yves, Prieur, Clémentine

Fourier Amplitude Sensitivity Test (FAST) and Random Balance Design (RBD) are popular methods of estimating variance-based sensitivity indices. We revisit them in light of the discrete Fourier transform (DFT) on finite subgroups of the torus and rand

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ae2ca4cf3f20076158f9c139cee6f5a7
https://hal.archives-ouvertes.fr/hal-00680725/document

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