The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
On the Relative Importance of Input Factors in Mathematical Models: Safety Assessment for Nuclear Waste Disposal
Abstract
This article deals with global quantitative sensitivity analysis of the Level E model, a computer code used in safety assessment for nuclear waste disposal. The Level E code has been the subject of two international benchmarks of risk assessment codes and Monte Carlo methods and is well known in the literature. We discuss the Level E model with reference to two different settings. In the first setting, the objective is to find the input factor that drives most of the output variance. In the second setting, we strive to achieve a preestablished reduction in the variance of the model output by fixing the smallest number of factors. The emphasis of this work is on how to define the concept of importance in an unambiguous way and how to assess it in the simultaneous occurrence of correlated input factors and non-additive models.
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Cites
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Design and Analysis of Computer Experiments
Sacks, J., Welch, W. J., Mitchell, T. J., & Wynn, H. P. (1989) · Statistical Science · doi:10.1214/ss/1177012413 · Cited by 6,919
GIS and Multicriteria Decision Analysis
Leake, C., & Malczewski, J. (2000) · The Journal of the Operational Research Society · doi:10.2307/254268 · Cited by 3,032
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-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
Self-citationImportance measures in global sensitivity analysis of nonlinear models
Homma, T., & Saltelli, A. (1996) · Reliability Engineering & System Safety · doi:10.1016/0951-8320(96)00002-6 · Cited by 2,011
Self-citationA distribution-free approach to inducing rank correlation among input variables
Iman, R. L., & Conover, W. J. (1982) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918208812265 · Cited by 1,620
Designs for Computer Experiments
Sacks, J., Schiller, S. B., & Welch, W. J. (1989) · Technometrics · doi:10.1080/00401706.1989.10488474 · Cited by 970
Screening, Predicting, and Computer Experiments
Welch, W. J., Buck, R. J., Sacks, J., Wynn, H. P., Mitchell, T. J., & Morris, M. D. (1992) · Technometrics · doi:10.2307/1269548 · Cited by 630
Sensitivity Analysis as an Ingredient of Modeling
Saltelli, A., Tarantola, S., & Campolongo, F. (2000) · Cited by 604
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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-citationHandbook on Constructing Composite Indicators: Methodology and User Guide
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffmann, A., & Giovannini, E. (2005) · OECD Statistics Working Papers · doi:10.1787/533411815016 · Cited by 2,671
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
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
- Saltelli, A., & Tarantola, S.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2002-09
- Volume
- 97
- Issue
- 459
- Pages
- 702-709
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2063847981
- Cited by
- 447
- References
- 23
- FWCI
- 5.63
- 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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