메뉴 건너뛰기




Volumn 135, Issue , 2014, Pages 320-328

Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis

Author keywords

Bootstrap method; Building thermal performance; Model selection; Sensitivity analysis

Indexed keywords

ELECTRIC LOAD FORECASTING; ENERGY CONSERVATION; ENERGY UTILIZATION; FORECASTING; OFFICE BUILDINGS; REGRESSION ANALYSIS;

EID: 84907165328     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.08.110     Document Type: Article
Times cited : (74)

References (83)
  • 3
    • 79959374497 scopus 로고    scopus 로고
    • Identification of the building parameters that influence heating and cooling energy loads for apartment buildings in hot-humid climates
    • Yildiz Y., Arsan Z.D. Identification of the building parameters that influence heating and cooling energy loads for apartment buildings in hot-humid climates. Energy 2011, 36:4287-4296.
    • (2011) Energy , vol.36 , pp. 4287-4296
    • Yildiz, Y.1    Arsan, Z.D.2
  • 4
    • 80053309659 scopus 로고    scopus 로고
    • Uncertainty and sensitivity analysis of building performance using probabilistic climate projections: a UK case study
    • Tian W., de Wilde P. Uncertainty and sensitivity analysis of building performance using probabilistic climate projections: a UK case study. Automat Constr 2011, 20:1096-1109.
    • (2011) Automat Constr , vol.20 , pp. 1096-1109
    • Tian, W.1    de Wilde, P.2
  • 5
    • 84865524081 scopus 로고    scopus 로고
    • A probabilistic energy model for non-domestic building sectors applied to analysis of school buildings in greater London
    • Tian W., Choudhary R. A probabilistic energy model for non-domestic building sectors applied to analysis of school buildings in greater London. Energy Build 2012, 54:1-11.
    • (2012) Energy Build , vol.54 , pp. 1-11
    • Tian, W.1    Choudhary, R.2
  • 6
    • 76449101710 scopus 로고    scopus 로고
    • Mathematical model for the choice of an energy management structure of complex buildings
    • Hoinka K., Ziebik A. Mathematical model for the choice of an energy management structure of complex buildings. Energy 2010, 35:1146-1156.
    • (2010) Energy , vol.35 , pp. 1146-1156
    • Hoinka, K.1    Ziebik, A.2
  • 7
    • 80052089686 scopus 로고    scopus 로고
    • Life cycle cost analysis of a multi-storey residential net zero energy building in Denmark
    • Marszal A.J., Heiselberg P. Life cycle cost analysis of a multi-storey residential net zero energy building in Denmark. Energy 2011, 36:5600-5609.
    • (2011) Energy , vol.36 , pp. 5600-5609
    • Marszal, A.J.1    Heiselberg, P.2
  • 8
    • 84912572055 scopus 로고    scopus 로고
    • Sampling-based sensitivity analysis of thermal performance in domestic buildings under climate change
    • EG-ICE (European Group for Intelligent Computing in Engineering), 6-8 July 2011. The Netherlands: Twente University
    • Tian W, de Wilde P. Sampling-based sensitivity analysis of thermal performance in domestic buildings under climate change. In: EG-ICE (European Group for Intelligent Computing in Engineering), 6-8 July 2011. The Netherlands: Twente University; 2011.
    • (2011)
    • Tian, W.1    de Wilde, P.2
  • 9
    • 84872293524 scopus 로고    scopus 로고
    • A review of sensitivity analysis methods in building energy analysis
    • Tian W. A review of sensitivity analysis methods in building energy analysis. Renew Sustain Energy Rev 2013, 20:411-419.
    • (2013) Renew Sustain Energy Rev , vol.20 , pp. 411-419
    • Tian, W.1
  • 10
    • 0033879856 scopus 로고    scopus 로고
    • Artificial neural networks for the prediction of the energy consumption of a passive solar building
    • Kalogirou S.A., Bojic M. Artificial neural networks for the prediction of the energy consumption of a passive solar building. Energy 2000, 25:479-491.
    • (2000) Energy , vol.25 , pp. 479-491
    • Kalogirou, S.A.1    Bojic, M.2
  • 11
    • 84860223914 scopus 로고    scopus 로고
    • A review on the prediction of building energy consumption
    • Zhao Hx, Magoule`s F. A review on the prediction of building energy consumption. Renew Sustain Energy Rev 2012, 16:3586-3592.
    • (2012) Renew Sustain Energy Rev , vol.16 , pp. 3586-3592
    • Zhao, H.1    F.2    Magoule3
  • 12
    • 69549111038 scopus 로고    scopus 로고
    • Simulation models for the analysis of space heat consumption of buildings
    • Popescu D., Ungureanu F., Herna´ndez-Guerrero A. Simulation models for the analysis of space heat consumption of buildings. Energy 2009, 34:1447-1453.
    • (2009) Energy , vol.34 , pp. 1447-1453
    • Popescu, D.1    Ungureanu, F.2    Herna´ndez-Guerrero, A.3
  • 13
    • 84860837922 scopus 로고    scopus 로고
    • Modeling and optimization of HVAC systems using a dynamic neural network
    • Kusiak A., Xu G. Modeling and optimization of HVAC systems using a dynamic neural network. Energy 2012, 42:241-250.
    • (2012) Energy , vol.42 , pp. 241-250
    • Kusiak, A.1    Xu, G.2
  • 14
    • 84994498846 scopus 로고    scopus 로고
    • Variable convergence in evolutionary optimization and its relationship to sensitivity analysis
    • First building simulation and optimization conference, 10-11 September 2012. Loughborough, UK
    • Wright JA, Wang M, Brownlee AEI, Buswell RA. Variable convergence in evolutionary optimization and its relationship to sensitivity analysis. In: First building simulation and optimization conference, 10-11 September 2012. Loughborough, UK; 2012.
    • (2012)
    • Wright, J.A.1    Wang, M.2    Brownlee, A.E.I.3    Buswell, R.A.4
  • 15
    • 77955566949 scopus 로고    scopus 로고
    • Predicting the performance of an office under climate change: a study of metrics, sensitivity and zonal resolution
    • de Wilde P., Tian W. Predicting the performance of an office under climate change: a study of metrics, sensitivity and zonal resolution. Energy Build 2010, 42:1674-1684.
    • (2010) Energy Build , vol.42 , pp. 1674-1684
    • de Wilde, P.1    Tian, W.2
  • 16
    • 77952601505 scopus 로고    scopus 로고
    • Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change
    • de Wilde P., Tian W. Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change. Build Simul 2009, 2:157-174.
    • (2009) Build Simul , vol.2 , pp. 157-174
    • de Wilde, P.1    Tian, W.2
  • 17
    • 84875099679 scopus 로고    scopus 로고
    • A building thermal bridges sensitivity analysis
    • Capozzoli A., Gorrino A., Corrado V. A building thermal bridges sensitivity analysis. Appl Energy 2013, 107:229-243.
    • (2013) Appl Energy , vol.107 , pp. 229-243
    • Capozzoli, A.1    Gorrino, A.2    Corrado, V.3
  • 18
    • 84861697706 scopus 로고    scopus 로고
    • Multivariate regression as an energy assessment tool in early building design
    • Hygh J.S., DeCarolis J.F., Hill D.B., Ranji Ranjithan S. Multivariate regression as an energy assessment tool in early building design. Build Environ 2012, 57:165-175.
    • (2012) Build Environ , vol.57 , pp. 165-175
    • Hygh, J.S.1    DeCarolis, J.F.2    Hill, D.B.3    Ranji Ranjithan, S.4
  • 19
    • 77954312607 scopus 로고    scopus 로고
    • Performance evaluation of passive cooling in office buildings based on uncertainty and sensitivity analysis
    • Breesch H., Janssens A. Performance evaluation of passive cooling in office buildings based on uncertainty and sensitivity analysis. Sol Energy 2010, 84:1453-1467.
    • (2010) Sol Energy , vol.84 , pp. 1453-1467
    • Breesch, H.1    Janssens, A.2
  • 20
    • 77954028118 scopus 로고    scopus 로고
    • USE of the ANOVA approach for sensitive building energy design
    • Mechri H.E., Capozzoli A., Corrado V. USE of the ANOVA approach for sensitive building energy design. Appl Energy 2010, 87:3073-3083.
    • (2010) Appl Energy , vol.87 , pp. 3073-3083
    • Mechri, H.E.1    Capozzoli, A.2    Corrado, V.3
  • 21
    • 84870587451 scopus 로고    scopus 로고
    • Practical application of uncertainty analysis and sensitivity analysis on an experimental house
    • Spitz C., Mora L., Wurtz E., Jay A. Practical application of uncertainty analysis and sensitivity analysis on an experimental house. Energy Build 2012, 55:459-470.
    • (2012) Energy Build , vol.55 , pp. 459-470
    • Spitz, C.1    Mora, L.2    Wurtz, E.3    Jay, A.4
  • 23
    • 70349753264 scopus 로고    scopus 로고
    • Uncertainty and sensitivity analysis for building energy rating
    • Corrado V., Mechri H.E. Uncertainty and sensitivity analysis for building energy rating. J Building Phys 2009, 33:125-156.
    • (2009) J Building Phys , vol.33 , pp. 125-156
    • Corrado, V.1    Mechri, H.E.2
  • 24
    • 0040052402 scopus 로고    scopus 로고
    • Sensitivity measures, ANOVA-like techniques and the use of bootstrap
    • Archer G., Saltelli A., Sobol I. Sensitivity measures, ANOVA-like techniques and the use of bootstrap. J Stat Comput Simul 1997, 58:99-120.
    • (1997) J Stat Comput Simul , vol.58 , pp. 99-120
    • Archer, G.1    Saltelli, A.2    Sobol, I.3
  • 25
    • 84884193877 scopus 로고    scopus 로고
    • A review on simulation-based optimization methods applied to building performance analysis
    • Nguyen A.-T., Reiter S., Rigo P. A review on simulation-based optimization methods applied to building performance analysis. Appl Energy 2014, 113:1043-1058.
    • (2014) Appl Energy , vol.113 , pp. 1043-1058
    • Nguyen, A.-T.1    Reiter, S.2    Rigo, P.3
  • 26
    • 0004278893 scopus 로고    scopus 로고
    • Atlanta: American Society of Heating, Air-Conditioning and Refrigeration Engineers. Inc
    • ASHRAE. Handbook of Fundamentals, Atlanta: American Society of Heating, Air-Conditioning and Refrigeration Engineers. Inc; 2013.
    • (2013) Handbook of Fundamentals
  • 27
    • 84870199623 scopus 로고    scopus 로고
    • Preliminary application of a methodology for risk assessment of thermal failures in buildings subject to climate change
    • Strachan, Kelly, Kummert, editors. IBPSA (International Building Performance Simulation Association) Conference
    • de Wilde P, Tian W. Preliminary application of a methodology for risk assessment of thermal failures in buildings subject to climate change. In: Strachan, Kelly, Kummert, editors. IBPSA (International Building Performance Simulation Association) Conference; 2009. p. 2077-84.
    • (2009) , pp. 2077-2084
    • de Wilde, P.1    Tian, W.2
  • 28
    • 67649202171 scopus 로고    scopus 로고
    • A new methodology for the design of low energy buildings
    • Chlela F., Husaunndee A., Inard C., Riederer P. A new methodology for the design of low energy buildings. Energy Build 2009, 41:982-990.
    • (2009) Energy Build , vol.41 , pp. 982-990
    • Chlela, F.1    Husaunndee, A.2    Inard, C.3    Riederer, P.4
  • 29
    • 84864704313 scopus 로고    scopus 로고
    • Parametric models of energy consumption based on experimental designs and applied to building-system dynamic simulation
    • Filfli S., Marchio D. Parametric models of energy consumption based on experimental designs and applied to building-system dynamic simulation. J Build Perform Simul 2012, 5:277-299.
    • (2012) J Build Perform Simul , vol.5 , pp. 277-299
    • Filfli, S.1    Marchio, D.2
  • 30
    • 84870677450 scopus 로고    scopus 로고
    • Forecasting of daily natural gas consumption on regional basis in Turkey using various computational methods
    • Tas¸pinar F., C¸elebi N., Tutkun N. Forecasting of daily natural gas consumption on regional basis in Turkey using various computational methods. Energy Build 2013, 56:23-31.
    • (2013) Energy Build , vol.56 , pp. 23-31
    • Tas¸pinar, F.1    C¸elebi, N.2    Tutkun, N.3
  • 31
    • 84861809331 scopus 로고    scopus 로고
    • Thermal monitoring and optimization of geothermal district heating systems using artificial neural network: a case study
    • Kec¸ebas¸ A., Yabanova I. Thermal monitoring and optimization of geothermal district heating systems using artificial neural network: a case study. Energy Build 2012, 50:339-346.
    • (2012) Energy Build , vol.50 , pp. 339-346
    • Kec¸ebas¸, A.1    Yabanova, I.2
  • 32
    • 84908504207 scopus 로고    scopus 로고
    • Metamodelling in robust low-energy dwelling design
    • 2nd Central European symposium on building physics, September 9-11. Vienna, Austria
    • Van Gelder L, Janssen H, Roels S. Metamodelling in robust low-energy dwelling design. In: 2nd Central European symposium on building physics, September 9-11. Vienna, Austria; 2013.
    • (2013)
    • Van Gelder, L.1    Janssen, H.2    Roels, S.3
  • 33
    • 64849083683 scopus 로고    scopus 로고
    • Applying support vector machine to predict hourly cooling load in the building
    • Li Q., Meng Q., Cai J., Yoshino H., Mochida A. Applying support vector machine to predict hourly cooling load in the building. Appl Energy 2009, 86:2249-2256.
    • (2009) Appl Energy , vol.86 , pp. 2249-2256
    • Li, Q.1    Meng, Q.2    Cai, J.3    Yoshino, H.4    Mochida, A.5
  • 35
    • 84861793096 scopus 로고    scopus 로고
    • Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
    • Tsanas A., Xifara A. Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools. Energy Build 2012, 49:560-567.
    • (2012) Energy Build , vol.49 , pp. 560-567
    • Tsanas, A.1    Xifara, A.2
  • 36
    • 84887650988 scopus 로고    scopus 로고
    • Predicting building ages from LiDAR data with random forests for building energy modeling
    • Tooke T.R., Coops N.C., Webster J. Predicting building ages from LiDAR data with random forests for building energy modeling. Energy Build 2014, 68(Part A):603-610.
    • (2014) Energy Build , vol.68 , pp. 603-610
    • Tooke, T.R.1    Coops, N.C.2    Webster, J.3
  • 42
    • 84976365011 scopus 로고    scopus 로고
    • BRE. BRE (Building Research Establishment) [accessed 06.02.12].
    • BRE. NCM (national calculation methodology) activity database, BRE (Building Research Establishment); 2012 [accessed 06.02.12]. http://www.ncm.bre.co.uk/.
    • (2012) NCM (national calculation methodology) activity database
  • 43
    • 33947199868 scopus 로고    scopus 로고
    • CIBSE. UK: The Charted Institution of Building Services Engineers, London
    • CIBSE. Guide a: environmental design. UK: The Charted Institution of Building Services Engineers, London; 2006.
    • (2006) Guide a: environmental design
  • 44
    • 84864972807 scopus 로고    scopus 로고
    • Extremely low-energy design for army buildings: tactical equipment maintenance facility
    • 2012 ASHRAE winter conference. Chicago, Illinois, USA; January 21-25
    • Langner R, Deru M, Zhivov A, Liesen R, Herron D. Extremely low-energy design for army buildings: tactical equipment maintenance facility. In: 2012 ASHRAE winter conference. Chicago, Illinois, USA; January 21-25, 2012.
    • (2012)
    • Langner, R.1    Deru, M.2    Zhivov, A.3    Liesen, R.4    Herron, D.5
  • 45
    • 84971670096 scopus 로고    scopus 로고
    • DOE. October 2013. USA: Department of Energy
    • DOE. EnergyPlus V8.1, October 2013. USA: Department of Energy; 2013.
    • (2013) EnergyPlus V8.1
  • 46
    • 84883548877 scopus 로고    scopus 로고
    • Building energy performance analysis by an in-house developed dynamic simulation code: an investigation for different case studies
    • Buonomano A., Palombo A. Building energy performance analysis by an in-house developed dynamic simulation code: an investigation for different case studies. Appl Energy 2014, 113:788-807.
    • (2014) Appl Energy , vol.113 , pp. 788-807
    • Buonomano, A.1    Palombo, A.2
  • 47
    • 84899869351 scopus 로고    scopus 로고
    • Determining the energy performance of manually controlled solar shades: a stochastic model based co-simulation analysis
    • Yao J. Determining the energy performance of manually controlled solar shades: a stochastic model based co-simulation analysis. Appl Energy 2014, 127:64-80.
    • (2014) Appl Energy , vol.127 , pp. 64-80
    • Yao, J.1
  • 48
    • 84878822289 scopus 로고    scopus 로고
    • On variations of space-heating energy use in office buildings
    • Lin H.-W., Hong T. On variations of space-heating energy use in office buildings. Appl Energy 2013, 111:515-528.
    • (2013) Appl Energy , vol.111 , pp. 515-528
    • Lin, H.-W.1    Hong, T.2
  • 49
    • 84901935343 scopus 로고    scopus 로고
    • Model calibration for building energy efficiency simulation
    • Mustafaraj G., Marini D., Costa A., Keane M. Model calibration for building energy efficiency simulation. Appl Energy 2014, 130:72-85.
    • (2014) Appl Energy , vol.130 , pp. 72-85
    • Mustafaraj, G.1    Marini, D.2    Costa, A.3    Keane, M.4
  • 50
    • 84876163506 scopus 로고    scopus 로고
    • UK Defra, DECC. Produced by AEA for the department of energy and climate change (DECC) and the department for environment, food and rural affairs (Defra), UK
    • UK Defra, DECC. 2012 Guidelines to Defra/DECC's GHG conversion factors for company reporting. In: Produced by AEA for the department of energy and climate change (DECC) and the department for environment, food and rural affairs (Defra), UK; 2012.
    • (2012) 2012 Guidelines to Defra/DECC's GHG conversion factors for company reporting
  • 51
    • 0346902084 scopus 로고    scopus 로고
    • Second thoughts on the bootstrap
    • Efron B. Second thoughts on the bootstrap. Stat Sci 2003, 135-140.
    • (2003) Stat Sci , pp. 135-140
    • Efron, B.1
  • 53
    • 85021233957 scopus 로고    scopus 로고
    • Comparison of latin hypercube and quasi monte carlo sampling techniques
    • IBPSA (International Building Performance Simulation Association) conference 2011, November 14-16. Sydney
    • Kucherenko S, Albrecht D, Saltelli A. Comparison of latin hypercube and quasi monte carlo sampling techniques. In: IBPSA (International Building Performance Simulation Association) conference 2011, November 14-16. Sydney; 2011.
    • (2011)
    • Kucherenko, S.1    Albrecht, D.2    Saltelli, A.3
  • 54
  • 55
    • 70549096873 scopus 로고    scopus 로고
    • Choosing the sample size of a computer experiment: a practical guide
    • Loeppky J.L., Sacks J., Welch W.J. Choosing the sample size of a computer experiment: a practical guide. Technometrics 2009, 51:366-376.
    • (2009) Technometrics , vol.51 , pp. 366-376
    • Loeppky, J.L.1    Sacks, J.2    Welch, W.J.3
  • 56
    • 84857058504 scopus 로고    scopus 로고
    • A comparison of two sampling methods for global sensitivity analysis
    • Tarantola S., Becker W., Zeitz D. A comparison of two sampling methods for global sensitivity analysis. Comput Phys Commun 2012, 183:1061-1072.
    • (2012) Comput Phys Commun , vol.183 , pp. 1061-1072
    • Tarantola, S.1    Becker, W.2    Zeitz, D.3
  • 58
    • 84863304598 scopus 로고    scopus 로고
    • Vienna, Austria: R Foundation for Statistical Computing
    • R Development Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2013 http://www.R-project.org/.
    • (2013) R: a language and environment for statistical computing
  • 59
    • 84863770468 scopus 로고    scopus 로고
    • Analysis of the building energy balance to investigate the effect of thermal insulation in summer conditions
    • Ballarini I., Corrado V. Analysis of the building energy balance to investigate the effect of thermal insulation in summer conditions. Energy Build 2012, 52:168-180.
    • (2012) Energy Build , vol.52 , pp. 168-180
    • Ballarini, I.1    Corrado, V.2
  • 60
    • 84870594742 scopus 로고    scopus 로고
    • Developing a database of energy use for historic dwellings in Bath, UK
    • Moran F., Natarajan S., Nikolopoulou M. Developing a database of energy use for historic dwellings in Bath, UK. Energy Build 2012, 55:218-226.
    • (2012) Energy Build , vol.55 , pp. 218-226
    • Moran, F.1    Natarajan, S.2    Nikolopoulou, M.3
  • 62
    • 84857996875 scopus 로고    scopus 로고
    • An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings
    • Yildiz Y., Korkmaz K., Go¨ksal O¨zbalta T., Durmus Arsan Z. An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings. Appl Energy 2012, 93:337-347.
    • (2012) Appl Energy , vol.93 , pp. 337-347
    • Yildiz, Y.1    Korkmaz, K.2    Go¨ksal O¨zbalta, T.3    Durmus Arsan, Z.4
  • 63
    • 84862782590 scopus 로고    scopus 로고
    • Energy consumption quota of public buildings based on statistical analysis
    • Zhao J., Xin Y., Tong D. Energy consumption quota of public buildings based on statistical analysis. Energy Policy 2012, 43:362-370.
    • (2012) Energy Policy , vol.43 , pp. 362-370
    • Zhao, J.1    Xin, Y.2    Tong, D.3
  • 65
    • 33745727561 scopus 로고    scopus 로고
    • Survey of sampling-based methods for uncertainty and sensitivity analysis
    • Helton J.C., Johnson J.D., Sallaberry C., Storlie C.B. Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliab Eng Syst Saf 2006, 91:1175-1209.
    • (2006) Reliab Eng Syst Saf , vol.91 , pp. 1175-1209
    • Helton, J.C.1    Johnson, J.D.2    Sallaberry, C.3    Storlie, C.B.4
  • 69
    • 84866502551 scopus 로고    scopus 로고
    • Monte-Carlo based uncertainty analysis: sampling efficiency and sampling convergence
    • Janssen H. Monte-Carlo based uncertainty analysis: sampling efficiency and sampling convergence. Reliab Eng Syst Saf 2013, 109:123-132.
    • (2013) Reliab Eng Syst Saf , vol.109 , pp. 123-132
    • Janssen, H.1
  • 70
    • 67949092696 scopus 로고    scopus 로고
    • Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models
    • Storlie C.B., Swiler L.P., Helton J.C., Sallaberry C.J. Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models. Reliab Eng Syst Saf 2009, 94:1735-1763.
    • (2009) Reliab Eng Syst Saf , vol.94 , pp. 1735-1763
    • Storlie, C.B.1    Swiler, L.P.2    Helton, J.C.3    Sallaberry, C.J.4
  • 72
    • 51649116012 scopus 로고    scopus 로고
    • Kriging metamodeling in simulation: a review
    • Kleijnen J.P. Kriging metamodeling in simulation: a review. Eur J Oper Res 2009, 192:707-716.
    • (2009) Eur J Oper Res , vol.192 , pp. 707-716
    • Kleijnen, J.P.1
  • 74
    • 0033895382 scopus 로고    scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • McKay M., Beckman R., Conover W. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 2000, 42:55-61.
    • (2000) Technometrics , vol.42 , pp. 55-61
    • McKay, M.1    Beckman, R.2    Conover, W.3
  • 76
    • 84866330474 scopus 로고    scopus 로고
    • Use of replicated Latin hypercube sampling to estimate sampling variance in uncertainty and sensitivity analysis results for the geologic disposal of radioactive waste
    • Hansen C.W., Helton J.C., Sallaberry C.J. Use of replicated Latin hypercube sampling to estimate sampling variance in uncertainty and sensitivity analysis results for the geologic disposal of radioactive waste. Reliab Eng Syst Saf 2012, 107:139-148.
    • (2012) Reliab Eng Syst Saf , vol.107 , pp. 139-148
    • Hansen, C.W.1    Helton, J.C.2    Sallaberry, C.J.3
  • 77
    • 15844394066 scopus 로고    scopus 로고
    • A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling
    • Helton J.C., Davis F., Johnson J.D. A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling. Reliab Eng Syst Saf 2005, 89:305-330.
    • (2005) Reliab Eng Syst Saf , vol.89 , pp. 305-330
    • Helton, J.C.1    Davis, F.2    Johnson, J.D.3
  • 78
    • 0029234497 scopus 로고
    • Robustness of an uncertainty and sensitivity analysis of early exposure results with the MACCS reactor accident consequence model
    • Helton J., Johnson J., McKay M., Shiver A., Sprung J. Robustness of an uncertainty and sensitivity analysis of early exposure results with the MACCS reactor accident consequence model. Reliab Eng Syst Saf 1995, 48:129-148.
    • (1995) Reliab Eng Syst Saf , vol.48 , pp. 129-148
    • Helton, J.1    Johnson, J.2    McKay, M.3    Shiver, A.4    Sprung, J.5
  • 79
    • 84860796007 scopus 로고    scopus 로고
    • Resampling methods for meta-model validation with recommendations for evolutionary computation
    • Bischl B., Mersmann O., Trautmann H., Weihs C. Resampling methods for meta-model validation with recommendations for evolutionary computation. Evol Comput 2012, 20:249-275.
    • (2012) Evol Comput , vol.20 , pp. 249-275
    • Bischl, B.1    Mersmann, O.2    Trautmann, H.3    Weihs, C.4
  • 81
    • 84879240206 scopus 로고    scopus 로고
    • Patient preference for involvement, experienced involvement, decisional conflict, and satisfaction with physician: a structural equation model test
    • Ho¨lzel L.P., Kriston L., Ha¨rter M. Patient preference for involvement, experienced involvement, decisional conflict, and satisfaction with physician: a structural equation model test. BMC Health Services Res 2013, 13:231.
    • (2013) BMC Health Services Res , vol.13 , pp. 231
    • Ho¨lzel, L.P.1    Kriston, L.2    Ha¨rter, M.3
  • 82
    • 84907165617 scopus 로고    scopus 로고
    • Reducing uncertainty in high-resolution sea ice models
    • Sandia National Laboratories (SNL-NM). Albuquerque, NM (United States): SAND2013-5484
    • Peterson K, Bochev P. Reducing uncertainty in high-resolution sea ice models. In: Sandia National Laboratories (SNL-NM). Albuquerque, NM (United States): SAND2013-5484; 2013.
    • (2013)
    • Peterson, K.1    Bochev, P.2
  • 83
    • 77954414547 scopus 로고    scopus 로고
    • Study on power energy consumption model for large-scale public building
    • 2010 2nd International Workshop on. IEEE
    • Ma Y, Yu J, Yang C, Wang L. Study on power energy consumption model for large-scale public building. In: Intelligent systems and applications (ISA), 2010 2nd International Workshop on. IEEE; 2010. p. 1-4.
    • (2010) Intelligent systems and applications (ISA) , pp. 1-4
    • Ma, Y.1    Yu, J.2    Yang, C.3    Wang, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.