The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Survey of sampling-based methods for uncertainty and sensitivity analysis
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Citations
Cites
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
(2005) · Technometrics · doi:10.1198/tech.2005.s303 · Cited by 17,923
Numerical recipes in Pascal: the art of scientific computing
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5158 · Cited by 11,811
Practical Nonparametric Statistics
Groggel, D. J. (2000) · Technometrics · doi:10.1080/00401706.2000.10486067 · Cited by 11,041
Classification and regression trees
Praagman, J. (1985) · European Journal of Operational Research · doi:10.1016/0377-2217(85)90321-2 · Cited by 10,053
Cressie, N. (1992) · Terra Nova · doi:10.1111/j.1365-3121.1992.tb00605.x · Cited by 8,823
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,596
McKay, M. D., Beckman, R. J., & Conover, W. J. (2000) · Technometrics · doi:10.2307/1271432 · Cited by 7,415
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
A methodology for performing global uncertainty and sensitivity analysis in systems biology
Marino, S., Hogue, I. B., Ray, C. J., & Kirschner, D. E. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.04.011 · Cited by 2,999
From screening to quantitative sensitivity analysis. A unified approach
Campolongo, F., Saltelli, A., & Cariboni, J. (2011) · Computer Physics Communications · doi:10.1016/j.cpc.2010.12.039 · Cited by 431
Ascione, F., Bianco, N., De Stasio, C., Mauro, G. M., & Vanoli, G. P. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.04.078 · Cited by 219
Sensitivity analysis methods in the biomedical sciences
Qian, G., & Mahdi, A. (2020) · Mathematical Biosciences · doi:10.1016/j.mbs.2020.108306 · Cited by 169
Metadata
- Authors
- Helton, J. C., Johnson, J. D., Sallaberry, C. J., & Storlie, C. B.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 91
- Issue
- 10-11
- Pages
- 1175-1209
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2006772343
- Cited by
- 1,237
- References
- 165
- FWCI
- 46.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Survey of sampling-based methods for uncertainty and sensitivity analysis. https://app.cochat.ai/papers/10.1016/j.ress.2005.11.017
- The paper
- Helton, J. C., Johnson, J. D., Sallaberry, C. J., & Storlie, C. B. (2006). Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2005.11.017
Data sources
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.
