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Volumn , Issue , 2010, Pages 89-122

Bounding uncertainty analyses

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EID: 85123027158     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (13)

References (36)
  • 1
    • 0342578829 scopus 로고
    • A commentary on model uncertainty
    • Mosleh A, Siu N, Smidts C, Lui C, editors. College Park (MD): Center for Reliability Engineering, University of Maryland
    • Apostolakis GE. 1995. A commentary on model uncertainty. In: Mosleh A, Siu N, Smidts C, Lui C, editors. Proceedings of Workshop on Model Uncertainty. College Park (MD): Center for Reliability Engineering, University of Maryland.
    • (1995) Proceedings of Workshop on Model Uncertainty
    • Apostolakis, G.E.1
  • 3
    • 51649134515 scopus 로고
    • An overview of robust Bayesian analysis [with Discussion]
    • Berger JO. 1994. An overview of robust Bayesian analysis [with Discussion]. Test 3:5-124.
    • (1994) Test , vol.3 , pp. 5-124
    • Berger, J.O.1
  • 4
    • 0002430403 scopus 로고
    • Automatically verified reasoning with both intervals and probability density functions
    • Berleant D. 1993. Automatically verified reasoning with both intervals and probability density functions. Interval Computations 2:48-70.
    • (1993) Interval Computations , vol.2 , pp. 48-70
    • Berleant, D.1
  • 5
    • 0013449534 scopus 로고    scopus 로고
    • Automatically verified arithmetic on probability distributions and intervals
    • Kearfott B, Kreinovich V, editors. Dordrecht (NL): Kluwer
    • Berleant D. 1996. Automatically verified arithmetic on probability distributions and intervals. In: Kearfott B, Kreinovich V, editors. Applications of interval computations. Dordrecht (NL): Kluwer, p 227-244.
    • (1996) Applications of interval computations , pp. 227-244
    • Berleant, D.1
  • 6
    • 0000210906 scopus 로고    scopus 로고
    • Bounding the results of arithmetic operations on random variables of unknown dependency using intervals
    • Berleant D, Goodman-Strauss C. 1998. Bounding the results of arithmetic operations on random variables of unknown dependency using intervals. Reliable Computing 4:147-165.
    • (1998) Reliable Computing , vol.4 , pp. 147-165
    • Berleant, D.1    Goodman-Strauss, C.2
  • 7
    • 84952385561 scopus 로고
    • The need for new methods to backcalculate soil cleanup targets in interval and probabilistic cancer risk assessments
    • Burmaster DE, Lloyd KJ, Thompson KM. 1995. The need for new methods to backcalculate soil cleanup targets in interval and probabilistic cancer risk assessments. Human Ecol Risk Assess 1:89-100.
    • (1995) Human Ecol Risk Assess , vol.1 , pp. 89-100
    • Burmaster, D.E.1    Lloyd, K.J.2    Thompson, K.M.3
  • 8
    • 0000143361 scopus 로고
    • Backcalculating cleanup targets in probabilistic risk assessments when the acceptability of cancer risk is defined under different risk management policies
    • Burmaster DE, Thompson KM. 1995. Backcalculating cleanup targets in probabilistic risk assessments when the acceptability of cancer risk is defined under different risk management policies. Human Ecol Risk Assess 1:101-120.
    • (1995) Human Ecol Risk Assess , vol.1 , pp. 101-120
    • Burmaster, D.E.1    Thompson, K.M.2
  • 12
    • 0344425653 scopus 로고
    • Using approximate deconvolution to estimate cleanup targets in probabilistic risk analyses
    • Kostecki P. editor. Amherst (MA): Amherst Scientific Press
    • Ferson S. 1995. Using approximate deconvolution to estimate cleanup targets in probabilistic risk analyses. In: Kostecki P. editor. Hydrocarbon contaminated soils. Amherst (MA): Amherst Scientific Press, p 239-248.
    • (1995) Hydrocarbon contaminated soils , pp. 239-248
    • Ferson, S.1
  • 14
    • 0030289763 scopus 로고    scopus 로고
    • Different methods are needed to propagate ignorance and variability
    • Ferson S, Ginzburg LR. 1996. Different methods are needed to propagate ignorance and variability. Reliability Eng Syst Saf 54:133-144.
    • (1996) Reliability Eng Syst Saf , vol.54 , pp. 133-144
    • Ferson, S.1    Ginzburg, L.R.2
  • 15
    • 0029255659 scopus 로고
    • Conservative uncertainty propagation in environmental risk assessments
    • Hughes JS, Biddinger GR, Mones E, editors. 3rd vol, ASTM STP 1218. Philadelphia: American Society for Testing and Materials
    • Ferson S, Long TF. 1995. Conservative uncertainty propagation in environmental risk assessments. In: Hughes JS, Biddinger GR, Mones E, editors. Environmental toxicology and risk assessment, 3rd vol, ASTM STP 1218. Philadelphia: American Society for Testing and Materials, p 97-110.
    • (1995) Environmental toxicology and risk assessment , pp. 97-110
    • Ferson, S.1    Long, T.F.2
  • 16
    • 0012595007 scopus 로고    scopus 로고
    • Deconvolution can reduce uncertainty in risk analyses
    • Newman M, Strojan C, editors. Ann Arbor (MI): Ann Arbor Press
    • Ferson S, Long TF. 1997. Deconvolution can reduce uncertainty in risk analyses. In: Newman M, Strojan C, editors. Risk assessment: measurement and logic. Ann Arbor (MI): Ann Arbor Press.
    • (1997) Risk assessment: Measurement and logic
    • Ferson, S.1    Long, T.F.2
  • 18
    • 8544253810 scopus 로고    scopus 로고
    • Characterization and simulation uncertain frequency distributions: Effects of distribution choice, variability, uncertainty, and parameter dependence
    • Frey HC, Rhodes DS. 1998. Characterization and simulation uncertain frequency distributions: effects of distribution choice, variability, uncertainty, and parameter dependence. Human Ecol Risk Assess 4:423-468.
    • (1998) Human Ecol Risk Assess , vol.4 , pp. 423-468
    • Frey, H.C.1    Rhodes, D.S.2
  • 20
    • 0041678251 scopus 로고
    • Can more information increase uncertainty?
    • Hammitt JK. 1995. Can more information increase uncertainty? Chance 36:15-17.
    • (1995) Chance , vol.36 , pp. 15-17
    • Hammitt, J.K.1
  • 21
    • 0025663843 scopus 로고
    • Less than obvious: Statistical treatment of data below the detection limit
    • Helsel DR. 1990. Less than obvious: statistical treatment of data below the detection limit. Environ Sci Technol 24:1766-1774.
    • (1990) Environ Sci Technol , vol.24 , pp. 1766-1774
    • Helsel, D.R.1
  • 24
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • Jaynes ET. 1957. Information theory and statistical mechanics. Phys Rev 106:620-630.
    • (1957) Phys Rev , vol.106 , pp. 620-630
    • Jaynes, E.T.1
  • 26
    • 0028171804 scopus 로고
    • Development of human exposure-factor distributions using maximum-entropy inference
    • Lee RC, Wright WE. 1994. Development of human exposure-factor distributions using maximum-entropy inference. J Exposure Anal Environ Epidemiol 4:329-341.
    • (1994) J Exposure Anal Environ Epidemiol , vol.4 , pp. 329-341
    • Lee, R.C.1    Wright, W.E.2
  • 27
    • 0004293209 scopus 로고
    • Englewood Cliffs (NJ): Prentice-Hall
    • Moore RE. 1966. Interval analysis. Englewood Cliffs (NJ): Prentice-Hall.
    • (1966) Interval analysis
    • Moore, R.E.1
  • 32
    • 0142202554 scopus 로고
    • Absolute bounds on the mean and standard deviation of transformed data for constant-sign-derivative transformations
    • Rowe NC. 1988. Absolute bounds on the mean and standard deviation of transformed data for constant-sign-derivative transformations. SIAM J Sci Stat Comput 9:1098-1113.
    • (1988) SIAM J Sci Stat Comput , vol.9 , pp. 1098-1113
    • Rowe, N.C.1
  • 33
    • 0010775470 scopus 로고
    • Dordrecht (NL): Kluwer. Sokal RR, Rohlf FJ. 1980. Biometry. New York: Freeman
    • Sander P, Badoux R, editors. 1991. Bayesian methods in reliability. Dordrecht (NL): Kluwer. Sokal RR, Rohlf FJ. 1980. Biometry. New York: Freeman.
    • (1991) Bayesian methods in reliability
    • Sander, P.1    Badoux, R.2
  • 34
    • 0242468352 scopus 로고    scopus 로고
    • Setting cleanup targets in a probabilistic assessment
    • Mishra S, editor. Reston (VA): American Society of Civil Engineers
    • Tucker WT, Ferson S. 2003. Setting cleanup targets in a probabilistic assessment. In: Mishra S, editor. Groundwater quality modeling and management under uncertainty. Reston (VA): American Society of Civil Engineers.
    • (2003) Groundwater quality modeling and management under uncertainty
    • Tucker, W.T.1    Ferson, S.2
  • 36
    • 0002063018 scopus 로고
    • Probabilistic arithmetic I: Numerical methods for calculating convolutions and dependency bounds
    • Williamson RC, Downs T. 1990. Probabilistic arithmetic I: numerical methods for calculating convolutions and dependency bounds. Int J Approximate Reasoning 4:89-158.
    • (1990) Int J Approximate Reasoning , vol.4 , pp. 89-158
    • Williamson, R.C.1    Downs, T.2


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