The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sensitivity Anaysis as an Ingredient of Modeling
Abstract
We explore the tasks where sensitivity analysis (SA) can be useful and try to assess the relevance of SA within the modeling process. We suggest that SA could considerably assist in the use of models, by providing objective criteria of judgement for different phases of the modelbuilding process: model identification and discrimination; model calibration; model corroboration. We review some new global quantitative SA methods and suggest that these might enlarge the scope for sensitivity analysis in computational and statistical modeling practice. Among the advantages of the new methods are their robustness, model independence and computational convenience. The discussion is based on worked examples.
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Citations
Cites
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
Self-citation
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-citationLatin hypercube sampling and the propagation of uncertainty in analyses of complex systems
Helton, J. C., & Davis, F. J. (2003) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(03)00058-9 · Cited by 2,688
Making 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
Self-citationSensitivity Analysis for Importance Assessment
Saltelli, A. (2002) · Risk Analysis · doi:10.1111/0272-4332.00040 · Cited by 1,302
Self-citationProbabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach
Oakley, J. E., & O'Hagan, A. (2004) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2004.05304.x · Cited by 1,085
Metadata
- Authors
- Campolongo, F., Saltelli, A., & Tarantola, S.
- Venue
- Statistical Science
- Publisher
- Institute of Mathematical Statistics
- Published
- 2000-11-01
- Volume
- 15
- Issue
- 4
- Pages
- 377-395
- ISSN
- 0883-4237 (ISSN-L)
- OpenAlex
- W2039085300
- Cited by
- 606
- References
- 1
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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