Survey of sampling-based methods for uncertainty and sensitivity analysis
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Christie, 2005, Error analysis and simulations of complex phenomena, Los Alamos Sci, 29, 6
2004
Sharp, 2003, QMU and nuclear weapons certification: what's under the hood?, Los Alamos Sci, 28, 47
Wagner, 2003, Science, uncertainty and risk: the problem of complex phenomena, APS News, 12, 8
Oberkampf, 2002, Error and uncertainty in modeling and simulation, Reliab Eng Syst Safety, 75, 333, 10.1016/S0951-8320(01)00120-X
Roache, 1998
1997
1997
1996
1994
1993
1993
1989
Beck, 1987, Water-quality modeling: a review of the analysis of uncertainty, Water Resour Res, 23, 1393, 10.1029/WR023i008p01393
Helton, 1997, Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty, J Stat Comput Simul, 57, 3, 10.1080/00949659708811803
1996, Reliab Eng Syst Safety, 54, 91
Paté-Cornell, 1996, Uncertainties in Risk Anal: six levels of treatment, Reliab Eng Syst Safety, 54, 95, 10.1016/S0951-8320(96)00067-1
Winkler, 1996, Uncertainty in probabilistic risk assessment, Reliab Eng Syst Safety, 54, 127, 10.1016/S0951-8320(96)00070-1
Hoffman, 1994, Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability, Risk Anal, 14, 707, 10.1111/j.1539-6924.1994.tb00281.x
Helton, 1994, Treatment of uncertainty in performance assessments for complex systems, Risk Anal, 14, 483, 10.1111/j.1539-6924.1994.tb00266.x
Apostolakis, 1990, The concept of probability in safety assessments of technological systems, Science, 250, 1359, 10.1126/science.2255906
Parry, 1981, Characterization and evaluation of uncertainty in probabilistic Risk Anal, Nucl Safety, 22, 28
Kaplan, 1981, On the quantitative definition of risk, Risk Anal, 1, 11, 10.1111/j.1539-6924.1981.tb01350.x
Cacuci, 2003
Griewank, 2000
Berz, 1996
Cacuci, 1994, On the application of the adjoint method of sensitivity analysis to problems in the atmospheric sciences, Atmósfera, 7, 47
Turányi, 1990, Sensitivity analysis of complex kinetic systems, tools and applications, J Math Chem, 5, 203, 10.1007/BF01166355
Rabitz, 1983, Sensitivity analysis in chemical kinetics, vol. 34, 419
1982, vol. 14
Frank, 1978
Tomovic, 1972
Myers, 2004, Response surface methodology: a retrospective and literature review, J Quality Technol, 36, 53, 10.1080/00224065.2004.11980252
Myers, 1999, Response surface methodology—current status and future directions, J Quality Technol, 31, 30, 10.1080/00224065.1999.11979891
Andres, 1997, Sampling methods and sensitivity analysis for large parameter sets, J Stat Comput Simul, 57, 77, 10.1080/00949659708811804
Kleijnen, 1997, Sensitivity analysis and related analyses: a review of some statistical techniques, J Stat Comput Simul, 57, 111, 10.1080/00949659708811805
Kleijnen, 1992, Sensitivity analysis of simulation experiments: regression analysis and statistical design, Math Comput Simul, 34, 297, 10.1016/0378-4754(92)90007-4
Morton, 1983, Response surface methodology, Math Sci, 8, 31
Mead, 1975, A review of response surface methodology from a biometric viewpoint, Biometrics, 31, 803, 10.2307/2529809
Myers, 1971
Helton, 2003, Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems, Reliab Eng Syst Safety, 81, 23, 10.1016/S0951-8320(03)00058-9
Helton, 2002, Illustration of sampling-based methods for uncertainty and sensitivity analysis, Risk Anal, 22, 591, 10.1111/0272-4332.00041
Helton, 2000, Sampling-based methods, 101
Kleijnen, 1999, Statistical analyses of scatterplots to identify important factors in large-scale simulations, 1: review and comparison of techniques, Reliab Eng Syst Safety, 65, 147, 10.1016/S0951-8320(98)00091-X
Blower, 1994, Sensitivity and uncertainty analysis of complex models of disease transmission: an HIV model, as an example, Int Stat Rev, 62, 229, 10.2307/1403510
Saltelli, 1993, Sensitivity analysis of model output. An investigation of new techniques, Comput Stat Data Anal, 15, 445, 10.1016/0167-9473(93)90193-W
Iman, 1992, Uncertainty and sensitivity analysis for computer modeling applications, vol. 28, 153
Saltelli, 1990, Non-parametric statistics in sensitivity analysis for model output. A comparison of selected techniques, Reliab Eng Syst Safety, 28, 229, 10.1016/0951-8320(90)90065-U
Iman, 1981, An approach to sensitivity analysis of computer models, Part 1. Introduction, input variable selection and preliminary variable assessment, J Quality Technol, 13, 174, 10.1080/00224065.1981.11978748
Iman, 1981, An approach to sensitivity analysis of computer models, Part 2. Ranking of input variables, response surface validation, distribution effect and technique synopsis, J Quality Technol, 13, 232, 10.1080/00224065.1981.11978763
Iman, 1980, Small sample sensitivity analysis techniques for computer models, with an application to risk assessment, Commun Stat: Theory Methods A, 9, 1749, 10.1080/03610928008827996
McKay, 1979, A comparison of three methods for selecting values of input variables in the analysis of output from a computer code, Technometrics, 21, 239, 10.2307/1268522
Rabitz, 1999, General foundations of high-dimensional model representations, J Math Chem, 25, 197, 10.1023/A:1019188517934
Saltelli, 1999, A quantitative model-independent method for global sensitivity analysis of model output, Technometrics, 41, 39, 10.2307/1270993
Sobol’, 1993, Sensitivity estimates for nonlinear mathematical models, Math Modeling Comput Exp, 1, 407
Cukier, 1978, Nonlinear sensitivity analysis of multiparameter model systems, J Comput Phys, 26, 1, 10.1016/0021-9991(78)90097-9
Ionescu-Bujor, 2004, A comparative review of sensitivity and uncertainty analysis of large-scale systems–I: deterministic methods, Nucl Sci Eng, 147, 189, 10.13182/NSE03-105CR
Cacuci, 2004, A comparative review of sensitivity and uncertainty analysis of large-scale systems–II: statistical methods, Nucl Sci Eng, 147, 204, 10.13182/04-54CR
Frey, 2002, Identification and review of sensitivity analysis methods, Risk Anal, 22, 553, 10.1111/0272-4332.00039
2000
Hamby, 1994, A review of techniques for parameter sensitivity analysis of environmental models, Environ Monitor Assess, 32, 135, 10.1007/BF00547132
Helton, 1993, Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal, Reliab Eng Syst Safety, 42, 327, 10.1016/0951-8320(93)90097-I
Ronen, 1988
Iman, 1988, An investigation of uncertainty and sensitivity analysis techniques for computer models, Risk Anal, 8, 71, 10.1111/j.1539-6924.1988.tb01155.x
Blower, 2000, A tale of two futures: HIV and antiretroviral therapy in San Francisco, Science, 287, 650, 10.1126/science.287.5453.650
Cohen, 2000, A discrete-event computer model of feline herpes virus within cat populations, Prevent Vet Med, 45, 163, 10.1016/S0167-5877(00)00132-X
Hofer, 1999, Sensitivity analysis in the context of uncertainty analysis for computationally intensive models, Comput Phys Commun, 117, 21, 10.1016/S0010-4655(98)00153-2
Caswell, 1998, Harbor porpoise and fisheries: an uncertainty analysis of incidental mortality, Ecol Appl, 8, 1226, 10.1890/1051-0761(1998)008[1226:HPAFAU]2.0.CO;2
Sanchez, 1997, Uncertainty and sensitivity analysis of the basic reproductive rate: tuberculosis as an example, Am J Epidemiol, 145, 1127, 10.1093/oxfordjournals.aje.a009076
Chan, 1996, The consequences of uncertainty for the prediction of the effects of schistosomiasis control programmes, Epidemiol Infect, 117, 537, 10.1017/S0950268800059239
Gwo, 1996, Subsurface stormflow modeling with sensitivity analysis using a latin-hypercube sampling technique, Ground Water, 34, 811, 10.1111/j.1745-6584.1996.tb02075.x
Helton, 1996, Uncertainty and sensitivity analysis results obtained in the 1992 performance assessment for the waste isolation pilot plant, Reliab Eng Syst Safety, 51, 53, 10.1016/0951-8320(95)00089-5
Kolev, 1996, Uncertainty and sensitivity analysis of a postexperiment simulation of nonexplosive melt-water interaction, Exp Thermal Fluid Sci, 13, 98, 10.1016/0894-1777(96)00034-9
Whiting, 1993, Effect of uncertainties in thermodynamic data and model parameters on calculated process performance, Ind Eng Chem Res, 32, 1367, 10.1021/ie00019a011
Ma, 1993, Parameter sensitivity of a model of viral epidemics simulated with Monte Carlo techniques. I. Illness attack rates, Int J Biomed Comput, 32, 237, 10.1016/0020-7101(93)90017-Z
Ma, 1993, Parameter sensitivity of a model of viral epidemics simulated with Monte Carlo techniques. II. Durations and peaks, Int J Biomed Comput, 32, 255, 10.1016/0020-7101(93)90018-2
Breshears, 1992, Contaminant transport through agroecosystems: assessing relative importance of environmental, physiological, and management factors, Ecol Appl, 2, 285, 10.2307/1941862
Breeding, 1992, Summary description of the methods used in the probabilistic risk assessments for NUREG-1150, Nucl Eng Des, 135, 1, 10.1016/0029-5493(92)90300-K
MacDonald, 1986, Valuation of supplemental and enhanced oil recovery projects with risk analysis, J Petroleum Technol, 38, 57, 10.2118/11303-PA
Helton, 2004, An exploration of alternative approaches to the representation of uncertainty in model predictions, Reliab Eng Syst Safety, 85, 39, 10.1016/j.ress.2004.03.025
Klir, 2004, Generalized information theory: aims, results, and open problems, Reliab Eng Syst Safety, 85, 21, 10.1016/j.ress.2004.03.003
Ross, 2004
Halpern, 2003
2002
Jaulin, 2001
Wolkenhauer, 2001
Klir, 1999
1994
Cooke, 2004, Expert judgement elicitation for risk assessment of critical infrastructures, J Risk Res, 7, 643, 10.1080/1366987042000192237
Ayyub, 2001
McKay, 2000, Critique of and limitations on the use of expert judgements in accident consequence uncertainty analysis, Radiat Protect Dosim, 90, 325, 10.1093/oxfordjournals.rpd.a033155
Budnitz, 1998, Use of technical expert panels: applications to probabilistic seismic hazard analysis, Risk Anal, 18, 463, 10.1111/j.1539-6924.1998.tb00361.x
Thorne, 1992, A review of expert judgement techniques with reference to nuclear safety, Progr Nucl Safety, 27, 83, 10.1016/0149-1970(92)90001-J
Cooke, 1991
Meyer, 1991
Hora, 1989, Expert opinion in risk analysis: the NUREG-1150 methodology, Nucl Sci Eng, 102, 323, 10.13182/NSE89-A23645
Helton, 2000
Vaughn, 2000, Representation of two-phase flow in the vicinity of the repository in the 1996 performance assessment for the waste isolation pilot plant, Reliab Eng Syst Safety, 69, 205, 10.1016/S0951-8320(00)00033-8
Helton, 2000, Uncertainty and sensitivity analysis for two-phase flow in the vicinity of the repository in the 1996 performance assessment for the waste isolation pilot plant: undisturbed conditions, Reliab Eng Syst Safety, 69, 227, 10.1016/S0951-8320(00)00034-X
Helton, 2000, Uncertainty and sensitivity analysis for two-phase flow in the vicinity of the repository in the 1996 performance assessment for the waste isolation pilot plant: disturbed conditions, Reliab Eng Syst Safety, 69, 263, 10.1016/S0951-8320(00)00035-1
1996
Helton, 1998
Helton, 2000, Special issue: the 1996 performance assessment for the waste isolation pilot plant, Reliab Eng Syst Safety, 69, 1, 10.1016/S0951-8320(00)00022-3
Helton, 2000, Characterization of subjective uncertainty in the 1996 performance assessment for the waste isolation pilot plant, Reliab Eng Syst Safety, 69, 191, 10.1016/S0951-8320(00)00032-6
Goossens, 2000, Expert judgement for a probabilistic accident consequence uncertainty analysis, Radiat Protect Dosim, 90, 295, 10.1093/oxfordjournals.rpd.a033151
Goossens, 1998, Joint EC/USNRC expert judgement driven radiological protection uncertainty analysis, J Radiol Protect, 18, 249, 10.1088/0952-4746/18/4/003
Siu, 1998, Bayesian parameter estimation in probabilistic risk assessment, Reliab Eng Syst Safety, 62, 89, 10.1016/S0951-8320(97)00159-2
Evans, 1994, Use of probabilistic expert judgement in uncertainty analysis of carcinogenic potency, Regul Toxicol Pharmacol, 20, 15, 10.1006/rtph.1994.1034
Chhibber, 1992, A taxonomy of issues related to the use of expert judgments in probabilistic safety studies, Reliab Eng Syst Safety, 38, 27, 10.1016/0951-8320(92)90103-R
Kaplan, 1992, Expert information versus expert opinions: another approach to the problem of eliciting combining using expert knowledge in PRA, Reliab Eng Syst Safety, 35, 61, 10.1016/0951-8320(92)90023-E
Otway, 1992, Expert judgement in risk analysis and management: process, context, and pitfalls, Risk Anal, 12, 83, 10.1111/j.1539-6924.1992.tb01310.x
Bonano, 1991, Theoretical foundations and practical issues for using expert judgments in uncertainty analysis of high-level radioactive waste disposal, Radioactive Waste Manage Nucl Fuel Cycle, 16, 137
Keeney, 1991, Eliciting probabilities from experts in complex technical problems, IEEE Trans Eng Manage, 38, 191, 10.1109/17.83752
Svenson, 1989, on expert judgments in safety analyses in the process industries, Reliab Eng Syst Safety, 25, 219, 10.1016/0951-8320(89)90095-1
Mosleh, 1988, A critique of current practice for the use of expert opinions in probabilistic risk assessment, Reliab Eng Syst Safety, 20, 63, 10.1016/0951-8320(88)90006-3
Breeding, 1992, The NUREG-1150 probabilistic risk assessment for the surry nuclear power station, Nucl Eng Des, 135, 29, 10.1016/0029-5493(92)90301-B
Payne, 1992, The NUREG-1150 probabilistic risk assessment for the peach bottom atomic power station, Nucl Eng Des, 135, 61, 10.1016/0029-5493(92)90302-C
Gregory, 1992, The NUREG-1150 probabilistic risk assessment for the sequoyah nuclear plant, Nucl Eng Des, 135, 92, 10.1016/0029-5493(92)90303-D
Brown, 1992, The NUREG-1150 probabilistic risk assessment for the grand gulf nuclear station, Nucl Eng Des, 135, 117, 10.1016/0029-5493(92)90304-E
Helton, 1993, Calculation of reactor accident safety goals, Reliab Eng Syst Safety, 39, 129, 10.1016/0951-8320(93)90038-Z
Morris, 2000, Three technometrics experimental design classics, Technometrics, 42, 26, 10.2307/1271429
Evans, 2000
Hurtado, 1998, Monte Carlo techniques in computational stochastic mechanics, Arch Comput Methods Eng, 5, 3, 10.1007/BF02736747
Nicola, 2001, Techniques for fast simulation of models of highly dependable systems, IEEE Trans Reliab, 50, 246, 10.1109/24.974122
Heidelberger, 1995, Fast simulation of rare events in queueing and reliability models, ACM Trans Modeling Comput Simul, 5, 43, 10.1145/203091.203094
Shahabuddin, 1994, Importance sampling for the simulation of highly reliable Markovian systems, Manage Sci, 40, 333, 10.1287/mnsc.40.3.333
Goyal, 1992, A unified framework for simulating Markovian models of highly dependable systems, IEEE Trans Comput, 41, 36, 10.1109/12.123381
Melchers, 1990, Search-based importance sampling, Struct Safety, 9, 117, 10.1016/0167-4730(90)90003-8
Glynn, 1989, Importance sampling for stochastic simulations, Manage Sci, 35, 1367, 10.1287/mnsc.35.11.1367
Iman, 1982, A distribution-free approach to inducing rank correlation among input variables, Commun Stat: Simul Comput B, 11, 311, 10.1080/03610918208812265
Iman, 1982, Rank correlation plots for use with correlated input variables, Commun Stat: Simul Comput B, 11, 335, 10.1080/03610918208812266
Helton, 2002
Helton, 2005, A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling, Reliab Eng Syst Safety, 89, 305, 10.1016/j.ress.2004.09.006
Kleinjen, 2005, An overview of the design and analysis of simulation experiments for sensitivity analysis, Europ J Operat Res, 164, 287, 10.1016/j.ejor.2004.02.005
2000
2000
1998
Ibrekk, 1987, Graphical communication of uncertain quantities to nontechnical people, Risk Anal, 7, 519, 10.1111/j.1539-6924.1987.tb00488.x
Tufte, 1983
Berglund, 2000, Direct releases to the surface and associated complementary cumulative distribution functions in the 1996 performance assessment for the waste isolation pilot plant: cuttings, cavings and spallings, Reliab Eng Syst Safety, 69, 305, 10.1016/S0951-8320(00)00036-3
Cooke, 2000, Graphical methods, 245
Myers, 1989
Draper, 1981
Daniel, 1980
Seber, 1977
Neter, 1974
Iman, 1985
Scheffé, 1959
Conover, 1980
Barnard, 1963, Contribution to the discussion of professor Bartlett's paper, J R Stat Soc Ser B, 26, 294
Press, 1992
Kleijnen, 1999, Statistical analyses of scatterplots to identify important factors in large-scale simulations, 2: robustness of techniques, Reliab Eng Syst Safety, 65, 187, 10.1016/S0951-8320(98)00090-8
Kleijnen, 1999
Granger, 1994, Using the mutual information coefficient to identify lags in nonlinear models, J Time Ser Anal, 15, 371, 10.1111/j.1467-9892.1994.tb00200.x
Mishra S, Knowlton RG. Testing for input–output dependence in performance assessment models. In: Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM), March 30–April 2, 2003. Las Vegas, Nevada. La Grange Park, IL: American Nuclear Society; p. 882–7.
Bonnlander BV, Weigend AS. Selecting input variables using mutual information and nonparametric density estimation. In: Proceedings of the international symposium on artificial neural networks (ISANN’94), Tainan, Taiwan, 1994. p. 42–50.
Moddemeijer, 1989, On the estimation of entropy and mutual information of continuous distributions, Signal Process, 16, 233, 10.1016/0165-1684(89)90132-1
Simonoff, 1996
Hastie, 1990
Chambers, 1992
Storlie CB, Helton JC. Multiple Predictor smoothing methods for sensitivity analysis, SAND2005-???? Albuquerque, NM: Sandia National Laboratories; to appear.
Ruppert, 2003
Breiman, 1984
Mishra, 2003, Application of classification trees in the sensitivity analysis of probabilistic model results, Reliab Eng Syst Safety, 79, 123, 10.1016/S0951-8320(02)00222-3
Hora, 2003, A distribution-free test for the relationship between model input and output when using Latin hypercube sampling, Reliab Eng Syst Safety, 79, 333, 10.1016/S0951-8320(02)00240-5
Peacock, 1983, Two-dimensional goodness-of-fit testing in astronomy, Monthly Notices R Astronom Soc, 202, 615, 10.1093/mnras/202.3.615
Fasano, 1987, A multidimensional version of the Kolmogorov–Smirnov test, Monthly Notices R Astronom Soc, 225, 155, 10.1093/mnras/225.1.155
Garvey, 1998, From star charts to stoneflies: detecting relationships in continuous bivariate data, Ecology, 79, 442, 10.1890/0012-9658(1998)079[0442:FSCTSD]2.0.CO;2
Ripley, 1987, Spatial point pattern analysis in ecology, vol. 14, 407
Zeng, 1985, A comparison of tests for randomness, Pattern Recogn, 18, 191, 10.1016/0031-3203(85)90043-3
Diggle, 1983
Diggle, 1983, Some distance-based tests of independence for sparsely sampled multivariate spatial point patterns, Int Stat Rev, 51, 11, 10.2307/1402729
Diggle, 1979, On parameter estimation and goodness-of-fit testing for spatial point patterns, Biometrics, 35, 87, 10.2307/2529938
Diggle, 1979, Statistical methods for spatial point patterns in ecology, 95
Ripley, 1979, Tests of randomness for spatial point patterns, J R Stat Soc, 41, 368
Diggle, 1976, Statistical analysis of spatial point patterns by means of distance methods, Biometrics, 32, 659, 10.2307/2529754
Cox, 1976, A conditioned distance ratio method for analyzing spatial patterns, Biometrika, 63, 483, 10.1093/biomet/63.3.483
Holgate, 1972, The use of distance methods for the analysis of spatial distribution of points, 122
Holgate, 1965, Tests of randomness based on distance methods, Biometrika, 52, 345, 10.1093/biomet/52.3-4.345
Clark, 1954, Distance to nearest neighbour as a measure of spatial relationships in populations, Ecology, 35, 23, 10.2307/1931034
Hopkins, 1954, A new method for determining the type of distribution of plant individuals, Ann Botany, 18, 213, 10.1093/oxfordjournals.aob.a083391
Cressie, 1993
Campolongo, 2000, Hitchhiker's guide to sensitivity analysis, 15
Saltelli, 2004
Cukier, 1973, Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients, I. Theory, J Chem Phys, 59, 3873, 10.1063/1.1680571
Schaibly, 1973, Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients, II. Applications, J Chem Phys, 59, 3879, 10.1063/1.1680572
McRae, 1981, Global sensitivity analysis—a computational implementation of the Fourier amplitude sensitivity test (FAST), Comput Chem Eng, 6, 15, 10.1016/0098-1354(82)80003-3
Saltelli, 1995, About the use of rank transformation in sensitivity analysis of model output, Reliab Eng Syst Safety, 50, 225, 10.1016/0951-8320(95)00099-2
Homma, 1996, Importance measures in global sensitivity analysis of nonlinear models, Reliab Eng Syst Safety, 52, 1, 10.1016/0951-8320(96)00002-6
Archer, 1997, Sensitivity measures, ANOVA-like techniques and the use of bootstrap, J Stat Comput Simul, 58, 99, 10.1080/00949659708811825
Saltelli, 1998, An alternative way to compute Fourier amplitude sensitivity test (FAST), Comput Stat Data Anal, 26, 267, 10.1016/S0167-9473(97)00043-1
Saltelli, 2000, Sensitivity analysis as an ingredient of modeling, Stat Sci, 15, 377, 10.1214/ss/1009213004
Chan, 2000, Winding stairs: a sampling tool to compute sensitivity indices, Stat Comput, 10, 187, 10.1023/A:1008950625967
Rabitz, 1999, Efficient input–output model representations, Comput Phys Commun, 117, 11, 10.1016/S0010-4655(98)00152-0
Jansen, 1994, Monte Carlo estimation of uncertainty contributions from several independent multivariate sources, 334
Jansen, 1999, Analysis of variance designs for model output, Comput Phys Commun, 117, 35, 10.1016/S0010-4655(98)00154-4
McKay, 1995
McKay, 1997, Nonparametric variance-based methods of assessing uncertainty importance, Reliab Eng Syst Safety, 57, 267, 10.1016/S0951-8320(97)00039-2
McKay, 1999, Evaluating prediction uncertainty in simulation models, Comput Phys Commun, 117, 44, 10.1016/S0010-4655(98)00155-6
Helton, 2003, Mathematical and numerical approaches in performance assessment for radioactive waste disposal: dealing with uncertainty, 353, 10.1016/S1569-4860(03)80068-2
Helton, 2000, Conceptual structure of the 1996 performance assessment for the waste isolation pilot plant, Reliab Eng Syst Safety, 69, 151, 10.1016/S0951-8320(00)00030-2
Diaz NJ. Realism and conservatism, remarks by chairman diaz at the 2003 nuclear safety research conference. NRC News. No. S-03-023, Washington, DC: US Nuclear Regulatory Commission; October 20, 2003.
Paté-Cornell, 2002, Risk and uncertainty analysis in government safety decisions, Risk Anal, 22, 633, 10.1111/0272-4332.00043
Caruso, 1999, An approach for using risk assessment in risk-informed decisions on plant-specific changes to the licensing basis, Reliab Eng Syst Safety, 63, 231, 10.1016/S0951-8320(98)00038-6
Sielken, 1995, Challenges to default assumptions stimulate comprehensive realism as a new tier in quantitative cancer risk assessment, Regul Toxicol Pharmacol, 21, 270, 10.1006/rtph.1995.1041