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Nonlinear sensitivity analysis of multiparameter model systems
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Citations
Cited by
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
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Saltelli, A., Tarantola, S., & Chan, K. P.-S. (1999) · Technometrics · doi:10.1080/00401706.1999.10485594 · Cited by 2,275
Identification and Review of Sensitivity Analysis Methods
Christopher Frey, H., & Patil, S. R. (2002) · Risk Analysis · doi:10.1111/0272-4332.00039 · Cited by 1,036
Analysis of variance designs for model output
Jansen, M. J. W. (1999) · Computer Physics Communications · doi:10.1016/s0010-4655(98)00154-4 · Cited by 650
Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis
Yang, J. (2011) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.10.007 · Cited by 326
Metadata
- Authors
- Cukier, R. I., Levine, H. B., & Shuler, K. E.
- Venue
- Journal of Computational Physics
- Publisher
- Elsevier BV
- Published
- 1978-01
- Volume
- 26
- Issue
- 1
- Pages
- 1-42
- ISSN
- 0021-9991 (ISSN-L)
- OpenAlex
- W1994249905
- Cited by
- 694
- References
- 0
- FWCI
- 19.15
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nonlinear sensitivity analysis of multiparameter model systems. https://app.cochat.ai/papers/10.1016/0021-9991(78)90097-9
- The paper
- Cukier, R. I., Levine, H. B., & Shuler, K. E. (1978). Nonlinear sensitivity analysis of multiparameter model systems. Journal of Computational Physics. https://doi.org/10.1016/0021-9991(78)90097-9
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.
