The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Sensitivity analysis for volcanic source modeling quality assessment and model selection
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Data Reduction and Error Analysis for the Physical Sciences
Bevington, P. R., Robinson, D. K., Blair, J. M., Mallinckrodt, A. J., & McKay, S. (1993) · Computers in Physics · doi:10.1063/1.4823194 · Cited by 14,824
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
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
Model Selection and Multimodel Inference
(2003) · Technometrics · doi:10.1198/tech.2003.s146 · Cited by 5,449
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
Matthews, B. W. (1975) · Biochimica et Biophysica Acta (BBA) - Protein Structure · doi:10.1016/0005-2795(75)90109-9 · Cited by 5,399 · cited 1×
“Matthews correlation coefficient is generally regarded as being one of the best ways to describe the confusion matrix by a single number (Matthews, 1975), hence it gives another way of evaluating the test performances.”
BackgroundData Reduction and Error Analysis for the Physical Sciences.
C., E. L., & Bevington, P. R. (1972) · Journal of the American Statistical Association · doi:10.2307/2284752 · Cited by 3,534
On the distribution of points in a cube and the approximate evaluation of integrals
Sobol', I. M. (1967) · USSR Computational Mathematics and Mathematical Physics · doi:10.1016/0041-5553(67)90144-9 · Cited by 2,975
Sensitivity Estimates for Nonlinear Mathematical Models
Sobol, I. M. (1990) · Medical Entomology and Zoology · Cited by 2,806
Cited by
Degradations 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
A practical guide for the generation of model-based virtual clinical trials
Craig, M., Gevertz, J. L., Kareva, I., & Wilkie, K. P. (2023) · Frontiers in Systems Biology · doi:10.3389/fsysb.2023.1174647 · Cited by 52
Metadata
- Authors
- Cannavó, F.
- Venue
- Computers & Geosciences
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 44
- Pages
- 52-59
- ISSN
- 0098-3004 (ISSN-L)
- OpenAlex
- W2007781011
- Cited by
- 260
- References
- 35
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cannavó, F. (2012). Sensitivity analysis for volcanic source modeling quality assessment and model selection. Computers & Geosciences. https://doi.org/10.1016/j.cageo.2012.03.008
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.
