The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Estimating the approximation error when fixing unessential factors in global sensitivity analysis
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Citations
Cites
Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates
Sobol′, I. M. (2001) · Mathematics and Computers in Simulation · doi:10.1016/s0378-4754(00)00270-6 · Cited by 6,389
Self-citationMaking best use of model evaluations to compute sensitivity indices
Saltelli, A. (2002) · Computer Physics Communications · doi:10.1016/s0010-4655(02)00280-1 · Cited by 2,228
Cited by
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010) · Computer Physics Communications · doi:10.1016/j.cpc.2009.09.018 · Cited by 3,623
Self-citationDegradations analysis and aging modeling for health assessment and prognostics of PEMFC
Jouin, M., Gouriveau, R., Hissel, D., Péra, M.-C., & Zerhouni, N. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2015.12.003 · Cited by 339
Richards, S. P., Hesselbarth, M. H. K., & Allgeier, J. E. (2026) · Journal of Animal Ecology · doi:10.1111/1365-2656.70255
Metadata
- Authors
- Sobol’, I. M., Tarantola, S., Gatelli, D., Kucherenko, S. S., & Mauntz, W.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 92
- Issue
- 7
- Pages
- 957-960
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W1973492181
- Cited by
- 394
- References
- 2
- FWCI
- 5.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Sobol’, I. M., Tarantola, S., Gatelli, D., Kucherenko, S. S., & Mauntz, W. (2007). Estimating the approximation error when fixing unessential factors in global sensitivity analysis. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2006.07.001
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
