1. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models / A. Saltelli, S. Tarantola, F. Campolongo, M. Ratto. - Hoboken, John Wiley & Sons Ltd., 2004 - 232 p.
2. Global Sensitivity Analysis: The Primer / A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, S. Tarantola. - John Wiley & Sons: Chichester, UK, 2008. - 305 p.
3. Sobol, I.M. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates / I.M. Sobol // Math.Comput. Simul. - 2001. - Vol. 55. - P. 271-280.
4. Lamboni, M. Multivariate sensitivity analysis and derivative-based global sensitivity measures with dependent variables / M. Lamboni, S. Kucherenko // Reliab. Eng. Syst. Saf. - 2021. - Vol. 212. - P. 107519.
5. Borgonovo, E. Model emulation and moment-independent sensitivity analysis: An application to environmental modelling / E. Borgonovo, W. Castaings, S. Tarantola // Environ. Model. Softw. - 2012. - Vol. 34. - P. 105-115.
6. Rana, S. An efficient assisted history matching and uncertainty quantification workflow using Gaussian processes proxy models and variogram based sensitivity analysis: GP-VARS / S. Rana, T. Ertekin, G.R. King // Comput. Geosci. - 2018. - Vol. 114. - P. 73-83. EDN: YHZMQX
7. Pujol, G. Simplex-based screening designs for estimating metamodels / G. Pujol // Reliab. Eng. Syst. Saf. - 2009. - Vol. 94. - P. 1156-1160.
8. Hamby, D.M. A comparison of sensitivity analysis techniques / D. M. Hamby // Health Phys. - 1995. - Vol. 68. - P. 195-204.
9. Box, G.E. An analysis for unreplicated fractional factorials / G. E. Box, R. D. Meyer // Technometrics. - 1986. - Vol. 28. - P. 11-18.
10. Dean, A. Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics / A. Dean, S. Lewis. - Springer Science & Business Media: Berlin/Heidelberg, Germany, 2006. - 234 p.
11. Kurowicka, D. Uncertainty analysis with high dimensional dependence modeling / D. Kurowicka, D.M. Cooke. - John Wiley & Sons. - 2006. - 304 p. EDN: YEEENX
12. Christensen, R. Linear models for multivariate, time series, and spatial data / R. Christensen. - New York: Springer-Verlag, 1991. - Vol. 1. - P. 354-355.
13. Cacuci, D.G. Sensitivity and uncertainty analysis, volume II: applications to large-scale systems / D.G. Cacuci, M. Ionescu-Bujor, I.M. Navon. - CRC press, 2005. - 368 p.
14. Sobol, I.M. On sensitivity estimation for nonlinear mathematical models / I.M. Sobol // Matematicheskoe modelirovanie, 1990. - Vol. 2, iss. 1. - P. 112-118. EDN: UEOANX
15. Efron, B. The jacknife estimate of variance / B. Efron, C. Stein // Ann. Stat. - 1981. - Vol. 9. - P. 586-596.
16. Блюмин, С.Л. Экономический факторный анализ: Монография / С.Л. Блюмин, В.Ф. Суханов, С.В. Чеботарев. - Липецк: ЛЭГИ, 2004. - 148 с. EDN: QQIMTD
17. Analysis of finite fluctuations for solving big data management problems / S.L. Blyumin, G.S. Borovkova, K.V. Serova, A.S. Sysoev // 2015 9th International Conference on Application of Information and Communication Technologies (AICT). - IEEE, 2015. - P. 48-51. DOI: 10.1109/ICAICT.2015.7338514 EDN: UNRIPV
18. Sensitivity analysis of neural network models: Applying methods of analysis of finite fluctuations / A. Sysoev, A. Ciurlia, R. Sheglevatych, S. Blyumin // Periodica polytechnica Electrical engineering and computer science. - 2019. - Vol. 63(4). - P. 306-311. EDN: GBHTPR
19. Применение несимметричного ортогонального планирования при исследовании процессов прокатки / С.Л. Блюмин, В.Г. Барышев, С.Л. Коцарь, Б.А. Поляков // Применение ЭВМ в металлургии: I Всесоюзн. науч.-техн. конф. - М.: МИСиС, 1973. - С. 118-119.
20. Surrogate Modeling of Buckling Analysis in Support of Composite Structure Optimization / S. Grihon, S. Alestra, E. Burnaev, P. Prikhodko // 1st International Conference on Composite Dynamics, Arcachon, France, 2012.
21. Zhao, D. A multi-surrogate approximation method for metamodeling / D. Zhao, D. Xue // Engineering with Computers, 2011. - Vol. 27(2). EDN: SFXBJG
22. Co-simulation: State of the Art. [arXiv:1702.00686] / C. Gomes, C. Thule, D. Broman, P. Larsen, H. Vangheluwe. - 2017.
23. Benureau, F. Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions. [arXiv:1708.08205] / F. Benureau, N. Rougier. - 2017.