Sensitivity analysis (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Sensitivity analysis" in English language version.

refsWebsite

Global rank English rank

45doi.org

2^nd place

15harvard.edu

18^th place

17^th place

11semanticscholar.org

11^th place

8^th place

11worldcat.org

5^th place

9nih.gov

4^th place

6arxiv.org

69^th place

59^th place

4jstor.org

26^th place

20^th place

2projecteuclid.org

3,707^th place

2,409^th place

2sciencedirect.com

149^th place

178^th place

1osti.gov

2,036^th place

1,254^th place

1unt.edu

1,336^th place

769^th place

1inrs.ca

low place

1springer.com

274^th place

309^th place

1books.google.com

3^rd place

1blackwells.co.uk

low place

1escholarship.org

1,523^rd place

976^th place

1ieee.org

652^nd place

515^th place

1elsevier.com

610^th place

704^th place

1psu.edu

207^th place

136^th place

1r-project.org

7,871^st place

5,225^th place

1zenodo.org

621^st place

380^th place

1handle.net

102^nd place

76^th place

1europa.eu

68^th place

117^th place

1web.archive.org

1^st place

1epa.gov

882^nd place

600^th place

arxiv.org (Global: 69^th place; English: 59^th place)

Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.
Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.
Marrel, A.; Iooss, B.; Van Dorpe, F.; Volkova, E. (2008). "An efficient methodology for modeling complex computer codes with Gaussian processes". Computational Statistics & Data Analysis. 52 (10): 4731–4744. arXiv:0802.1099. doi:10.1016/j.csda.2008.03.026.
Chatterjee S (2 October 2021). "A New Coefficient of Correlation". Journal of the American Statistical Association. 116 (536): 2009–2022. arXiv:1909.10140. doi:10.1080/01621459.2020.1758115. ISSN 0162-1459.
Wiesel JC (November 2022). "Measuring association with Wasserstein distances". Bernoulli. 28 (4): 2816–2832. arXiv:2102.00356. doi:10.3150/21-BEJ1438. ISSN 1350-7265.

blackwells.co.uk (Global: low place; English: low place)

Da Veiga S, Gamboa F, Iooss B, Prieur C (2021). Basics and Trends in Sensitivity Analysis. SIAM. doi:10.1137/1.9781611976694. ISBN 978-1-61197-668-7.

books.google.com (Global: 3^rd place; English: 3^rd place)

O'Hagan, A.; et al. (2006). Uncertain Judgements: Eliciting Experts' Probabilities. Chichester: Wiley. ISBN 9780470033302.

doi.org (Global: 2^nd place; English: 2^nd place)

Saltelli, A.; Ratto, M.; Andreas, T.; Campolongo, F.; Gariboni, J.; Gatelli, D.; Saisana, M.; Tarantola, S. (2008). Global Sensitivity Analysis. The Primer. John Wiley & Sons. doi:10.1002/9780470725184. ISBN 978-0-470-05997-5.
Saltelli, A.; Tarantola, S.; Campolongo, F.; Ratto, M. (2004). Sensitivity analysis in practice: a guide to assessing scientific models. Vol. 1. doi:10.1002/0470870958. ISBN 978-0-470-87093-8.
Der Kiureghian, A.; Ditlevsen, O. (2009). "Aleatory or epistemic? Does it matter?". Structural Safety. 31 (2): 105–112. doi:10.1016/j.strusafe.2008.06.020.
Pannell, D. J. (1997). "Sensitivity Analysis of Normative Economic Models: Theoretical Framework and Practical Strategies". Agricultural Economics. 16 (2): 139–152. doi:10.1111/j.1574-0862.1997.tb00449.x.
Bahremand, A.; De Smedt, F. (2008). "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia". Water Resources Management. 22 (3): 293–408. Bibcode:2008WatRM..22..393B. doi:10.1007/s11269-007-9168-x. S2CID 9710579.
Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S. (2015). "Practical use of computationally frugal model analysis methods". Groundwater. 54 (2): 159–170. doi:10.1111/gwat.12330. OSTI 1286771. PMID 25810333.
Helton, J. C.; Johnson, J. D.; Salaberry, C. J.; Storlie, C. B. (2006). "Survey of sampling based methods for uncertainty and sensitivity analysis". Reliability Engineering and System Safety. 91 (10–11): 1175–1209. doi:10.1016/j.ress.2005.11.017.
Tsvetkova, O.; Ouarda, T.B.M.J. (2019). "Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE" (PDF). Journal of Renewable and Sustainable Energy. 11 (5): 053303. doi:10.1063/1.5120035. S2CID 208835771.
Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.
Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.
Marrel, A.; Iooss, B.; Van Dorpe, F.; Volkova, E. (2008). "An efficient methodology for modeling complex computer codes with Gaussian processes". Computational Statistics & Data Analysis. 52 (10): 4731–4744. arXiv:0802.1099. doi:10.1016/j.csda.2008.03.026.
Sacks, J.; Welch, W. J.; Mitchell, T. J.; Wynn, H. P. (1989). "Design and Analysis of Computer Experiments". Statistical Science. 4 (4): 409–435. doi:10.1214/ss/1177012413.
Da Veiga S, Gamboa F, Iooss B, Prieur C (2021). Basics and Trends in Sensitivity Analysis. SIAM. doi:10.1137/1.9781611976694. ISBN 978-1-61197-668-7.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Czitrom, Veronica (1999). "One-Factor-at-a-Time Versus Designed Experiments". American Statistician. 53 (2): 126–131. doi:10.2307/2685731. JSTOR 2685731.
Gatzouras, D; Giannopoulos, A (2009). "Threshold for the volume spanned by random points with independent coordinates". Israel Journal of Mathematics. 169 (1): 125–153. doi:10.1007/s11856-009-0007-z.
Morris MD (1991). "Factorial Sampling Plans for Preliminary Computational Experiments". Technometrics. 33 (2). Taylor & Francis: 161–174. doi:10.2307/1269043. JSTOR 1269043.
Borgonovo E, Tarantola S, Plischke E, Morris MD (2014). "Transformations and invariance in the sensitivity analysis of computer experiments". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 76 (5): 925–947. doi:10.1111/rssb.12052. ISSN 1369-7412.
Rényi, A (1 September 1959). "On measures of dependence". Acta Mathematica Academiae Scientiarum Hungaricae. 10 (3): 441–451. doi:10.1007/BF02024507. ISSN 1588-2632.
Borgonovo E (June 2007). "A new uncertainty importance measure". Reliability Engineering & System Safety. 92 (6): 771–784. doi:10.1016/J.RESS.2006.04.015. ISSN 0951-8320.
Chatterjee S (2 October 2021). "A New Coefficient of Correlation". Journal of the American Statistical Association. 116 (536): 2009–2022. arXiv:1909.10140. doi:10.1080/01621459.2020.1758115. ISSN 0162-1459.
Wiesel JC (November 2022). "Measuring association with Wasserstein distances". Bernoulli. 28 (4): 2816–2832. arXiv:2102.00356. doi:10.3150/21-BEJ1438. ISSN 1350-7265.
Barr J, Rabitz H (31 March 2022). "A Generalized Kernel Method for Global Sensitivity Analysis". SIAM/ASA Journal on Uncertainty Quantification. 10 (1). Society for Industrial and Applied Mathematics: 27–54. doi:10.1137/20M1354829.
Pianosi F, Wagener T (2015). "A simple and efficient method for global sensitivity analysis based on cumulative distribution functions". Environmental Modelling & Software. 67: 1–11. Bibcode:2015EnvMS..67....1P. doi:10.1016/j.envsoft.2015.01.004.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory". Water Resources Research. 52 (1): 423–439. Bibcode:2016WRR....52..423R. doi:10.1002/2015WR017558. ISSN 1944-7973.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application". Water Resources Research. 52 (1): 440–455. Bibcode:2016WRR....52..440R. doi:10.1002/2015WR017559. ISSN 1944-7973.
Haghnegahdar, Amin; Razavi, Saman (September 2017). "Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale". Environmental Modelling & Software. 95: 115–131. Bibcode:2017EnvMS..95..115H. doi:10.1016/j.envsoft.2017.03.031.
Owen AB (1 January 2014). "Sobol' Indices and Shapley Value". SIAM/ASA Journal on Uncertainty Quantification. 2 (1). Society for Industrial and Applied Mathematics: 245–251. doi:10.1137/130936233.
Sudret, B. (2008). "Global sensitivity analysis using polynomial chaos expansions". Bayesian Networks in Dependability]. 93 (7): 964–979. doi:10.1016/j.ress.2007.04.002.
Storlie, C.B.; Swiler, L.P.; Helton, J.C.; Sallaberry, C.J. (2009). "Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models". Reliability Engineering & System Safety. 94 (11): 1735–1763. doi:10.1016/j.ress.2009.05.007.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.
Oakley, J.; O'Hagan, A. (2004). "Probabilistic sensitivity analysis of complex models: a Bayesian approach". J. R. Stat. Soc. B. 66 (3): 751–769. CiteSeerX 10.1.1.6.9720. doi:10.1111/j.1467-9868.2004.05304.x. S2CID 6130150.
Gramacy, R. B.; Taddy, M. A. (2010). "Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models" (PDF). Journal of Statistical Software. 33 (6). doi:10.18637/jss.v033.i06.
Becker, W.; Worden, K.; Rowson, J. (2013). "Bayesian sensitivity analysis of bifurcating nonlinear models". Mechanical Systems and Signal Processing. 34 (1–2): 57–75. Bibcode:2013MSSP...34...57B. doi:10.1016/j.ymssp.2012.05.010.
Sudret, B. (2008). "Global sensitivity analysis using polynomial chaos expansions". Reliability Engineering & System Safety. 93 (7): 964–979. doi:10.1016/j.ress.2007.04.002.
Ratto, M.; Pagano, A. (2010). "Using recursive algorithms for the efficient identification of smoothing spline ANOVA models". AStA Advances in Statistical Analysis. 94 (4): 367–388. doi:10.1007/s10182-010-0148-8. S2CID 7678955.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Li, G.; Hu, J.; Wang, S.-W.; Georgopoulos, P.; Schoendorf, J.; Rabitz, H. (2006). "Random Sampling-High Dimensional Model Representation (RS-HDMR) and orthogonality of its different order component functions". Journal of Physical Chemistry A. 110 (7): 2474–2485. Bibcode:2006JPCA..110.2474L. doi:10.1021/jp054148m. PMID 16480307.
Li, G. (2002). "Practical approaches to construct RS-HDMR component functions". Journal of Physical Chemistry. 106 (37): 8721–8733. Bibcode:2002JPCA..106.8721L. doi:10.1021/jp014567t.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.
Lo Piano, S; Robinson, M (2019). "Nutrition and public health economic evaluations under the lenses of post normal science". Futures. 112 102436. doi:10.1016/j.futures.2019.06.008. S2CID 198636712.

elsevier.com (Global: 610^th place; English: 704^th place)

Gupta, H; Razavi, S (2016). "Challenges and Future Outlook of Sensitivity Analysis". In Petropoulos, George; Srivastava, Prashant (eds.). Sensitivity Analysis in Earth Observation Modelling (1st ed.). Elsevier. pp. 397–415. ISBN 9780128030318.

epa.gov (Global: 882^nd place; English: 600^th place)

"Archived copy" (PDF). Archived from the original (PDF) on 2011-04-26. Retrieved 2009-10-16.{{cite web}}: CS1 maint: archived copy as title (link)

escholarship.org (Global: 1,523^rd place; English: 976^th place)

Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.

europa.eu (Global: 68^th place; English: 117^th place)

ec.europa.eu

European Commission. 2021. “Better Regulation Toolbox.” November 25.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Bahremand, A.; De Smedt, F. (2008). "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia". Water Resources Management. 22 (3): 293–408. Bibcode:2008WatRM..22..393B. doi:10.1007/s11269-007-9168-x. S2CID 9710579.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Pianosi F, Wagener T (2015). "A simple and efficient method for global sensitivity analysis based on cumulative distribution functions". Environmental Modelling & Software. 67: 1–11. Bibcode:2015EnvMS..67....1P. doi:10.1016/j.envsoft.2015.01.004.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory". Water Resources Research. 52 (1): 423–439. Bibcode:2016WRR....52..423R. doi:10.1002/2015WR017558. ISSN 1944-7973.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application". Water Resources Research. 52 (1): 440–455. Bibcode:2016WRR....52..440R. doi:10.1002/2015WR017559. ISSN 1944-7973.
Haghnegahdar, Amin; Razavi, Saman (September 2017). "Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale". Environmental Modelling & Software. 95: 115–131. Bibcode:2017EnvMS..95..115H. doi:10.1016/j.envsoft.2017.03.031.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.
Becker, W.; Worden, K.; Rowson, J. (2013). "Bayesian sensitivity analysis of bifurcating nonlinear models". Mechanical Systems and Signal Processing. 34 (1–2): 57–75. Bibcode:2013MSSP...34...57B. doi:10.1016/j.ymssp.2012.05.010.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Li, G.; Hu, J.; Wang, S.-W.; Georgopoulos, P.; Schoendorf, J.; Rabitz, H. (2006). "Random Sampling-High Dimensional Model Representation (RS-HDMR) and orthogonality of its different order component functions". Journal of Physical Chemistry A. 110 (7): 2474–2485. Bibcode:2006JPCA..110.2474L. doi:10.1021/jp054148m. PMID 16480307.
Li, G. (2002). "Practical approaches to construct RS-HDMR component functions". Journal of Physical Chemistry. 106 (37): 8721–8733. Bibcode:2002JPCA..106.8721L. doi:10.1021/jp014567t.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.

ieee.org (Global: 652^nd place; English: 515^th place)

ieeexplore.ieee.org

Kabir HD, Khosravi A, Nahavandi D, Nahavandi S. Uncertainty Quantification Neural Network from Similarity and Sensitivity. In2020 International Joint Conference on Neural Networks (IJCNN) 2020 Jul 19 (pp. 1-8). IEEE.

inrs.ca (Global: low place; English: low place)

espace.inrs.ca

Tsvetkova, O.; Ouarda, T.B.M.J. (2019). "Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE" (PDF). Journal of Renewable and Sustainable Energy. 11 (5): 053303. doi:10.1063/1.5120035. S2CID 208835771.

jstor.org (Global: 26^th place; English: 20^th place)

Czitrom, Veronica (1999). "One-Factor-at-a-Time Versus Designed Experiments". American Statistician. 53 (2): 126–131. doi:10.2307/2685731. JSTOR 2685731.
Morris MD (1991). "Factorial Sampling Plans for Preliminary Computational Experiments". Technometrics. 33 (2). Taylor & Francis: 161–174. doi:10.2307/1269043. JSTOR 1269043.
Leamer, Edward E. (1983). "Let's Take the Con Out of Econometrics". American Economic Review. 73 (1): 31–43. JSTOR 1803924.
Leamer, Edward E. (1985). "Sensitivity Analyses Would Help". American Economic Review. 75 (3): 308–313. JSTOR 1814801.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S. (2015). "Practical use of computationally frugal model analysis methods". Groundwater. 54 (2): 159–170. doi:10.1111/gwat.12330. OSTI 1286771. PMID 25810333.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.
Li, G.; Hu, J.; Wang, S.-W.; Georgopoulos, P.; Schoendorf, J.; Rabitz, H. (2006). "Random Sampling-High Dimensional Model Representation (RS-HDMR) and orthogonality of its different order component functions". Journal of Physical Chemistry A. 110 (7): 2474–2485. Bibcode:2006JPCA..110.2474L. doi:10.1021/jp054148m. PMID 16480307.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.

ncbi.nlm.nih.gov

Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.

osti.gov (Global: 2,036^th place; English: 1,254^th place)

Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S. (2015). "Practical use of computationally frugal model analysis methods". Groundwater. 54 (2): 159–170. doi:10.1111/gwat.12330. OSTI 1286771. PMID 25810333.

projecteuclid.org (Global: 3,707^th place; English: 2,409^th place)

Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Oakley, J.; O'Hagan, A. (2004). "Probabilistic sensitivity analysis of complex models: a Bayesian approach". J. R. Stat. Soc. B. 66 (3): 751–769. CiteSeerX 10.1.1.6.9720. doi:10.1111/j.1467-9868.2004.05304.x. S2CID 6130150.

r-project.org (Global: 7,871^st place; English: 5,225^th place)

cran.r-project.org

Gramacy, R. B.; Taddy, M. A. (2010). "Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models" (PDF). Journal of Statistical Software. 33 (6). doi:10.18637/jss.v033.i06.

sciencedirect.com (Global: 149^th place; English: 178^th place)

Marrel, A.; Iooss, B.; Van Dorpe, F.; Volkova, E. (2008). "An efficient methodology for modeling complex computer codes with Gaussian processes". Computational Statistics & Data Analysis. 52 (10): 4731–4744. arXiv:0802.1099. doi:10.1016/j.csda.2008.03.026.
Sudret, B. (2008). "Global sensitivity analysis using polynomial chaos expansions". Bayesian Networks in Dependability]. 93 (7): 964–979. doi:10.1016/j.ress.2007.04.002.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Bahremand, A.; De Smedt, F. (2008). "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia". Water Resources Management. 22 (3): 293–408. Bibcode:2008WatRM..22..393B. doi:10.1007/s11269-007-9168-x. S2CID 9710579.
Tsvetkova, O.; Ouarda, T.B.M.J. (2019). "Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE" (PDF). Journal of Renewable and Sustainable Energy. 11 (5): 053303. doi:10.1063/1.5120035. S2CID 208835771.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Oakley, J.; O'Hagan, A. (2004). "Probabilistic sensitivity analysis of complex models: a Bayesian approach". J. R. Stat. Soc. B. 66 (3): 751–769. CiteSeerX 10.1.1.6.9720. doi:10.1111/j.1467-9868.2004.05304.x. S2CID 6130150.
Ratto, M.; Pagano, A. (2010). "Using recursive algorithms for the efficient identification of smoothing spline ANOVA models". AStA Advances in Statistical Analysis. 94 (4): 367–388. doi:10.1007/s10182-010-0148-8. S2CID 7678955.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.
Lo Piano, S; Robinson, M (2019). "Nutrition and public health economic evaluations under the lenses of post normal science". Futures. 112 102436. doi:10.1016/j.futures.2019.06.008. S2CID 198636712.

springer.com (Global: 274^th place; English: 309^th place)

link.springer.com

Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.

unt.edu (Global: 1,336^th place; English: 769^th place)

digital.library.unt.edu

Helton, J. C.; Johnson, J. D.; Salaberry, C. J.; Storlie, C. B. (2006). "Survey of sampling based methods for uncertainty and sensitivity analysis". Reliability Engineering and System Safety. 91 (10–11): 1175–1209. doi:10.1016/j.ress.2005.11.017.

web.archive.org (Global: 1^st place; English: 1^st place)

"Archived copy" (PDF). Archived from the original (PDF) on 2011-04-26. Retrieved 2009-10-16.{{cite web}}: CS1 maint: archived copy as title (link)

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.
Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.
Borgonovo E, Tarantola S, Plischke E, Morris MD (2014). "Transformations and invariance in the sensitivity analysis of computer experiments". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 76 (5): 925–947. doi:10.1111/rssb.12052. ISSN 1369-7412.
Rényi, A (1 September 1959). "On measures of dependence". Acta Mathematica Academiae Scientiarum Hungaricae. 10 (3): 441–451. doi:10.1007/BF02024507. ISSN 1588-2632.
Borgonovo E (June 2007). "A new uncertainty importance measure". Reliability Engineering & System Safety. 92 (6): 771–784. doi:10.1016/J.RESS.2006.04.015. ISSN 0951-8320.
Chatterjee S (2 October 2021). "A New Coefficient of Correlation". Journal of the American Statistical Association. 116 (536): 2009–2022. arXiv:1909.10140. doi:10.1080/01621459.2020.1758115. ISSN 0162-1459.
Wiesel JC (November 2022). "Measuring association with Wasserstein distances". Bernoulli. 28 (4): 2816–2832. arXiv:2102.00356. doi:10.3150/21-BEJ1438. ISSN 1350-7265.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory". Water Resources Research. 52 (1): 423–439. Bibcode:2016WRR....52..423R. doi:10.1002/2015WR017558. ISSN 1944-7973.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application". Water Resources Research. 52 (1): 440–455. Bibcode:2016WRR....52..440R. doi:10.1002/2015WR017559. ISSN 1944-7973.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.

zenodo.org (Global: 621^st place; English: 380^th place)

Becker, W.; Worden, K.; Rowson, J. (2013). "Bayesian sensitivity analysis of bifurcating nonlinear models". Mechanical Systems and Signal Processing. 34 (1–2): 57–75. Bibcode:2013MSSP...34...57B. doi:10.1016/j.ymssp.2012.05.010.

Sensitivity analysis (English Wikipedia)

arxiv.org (Global: 69th place; English: 59th place)

blackwells.co.uk (Global: low place; English: low place)

books.google.com (Global: 3rd place; English: 3rd place)

doi.org (Global: 2nd place; English: 2nd place)

elsevier.com (Global: 610th place; English: 704th place)

epa.gov (Global: 882nd place; English: 600th place)

escholarship.org (Global: 1,523rd place; English: 976th place)

europa.eu (Global: 68th place; English: 117th place)

ec.europa.eu

handle.net (Global: 102nd place; English: 76th place)