메뉴 건너뛰기




Volumn 13, Issue C, 2006, Pages 225-257

Chapter 9 Subjective Probability and Bayesian Methodology

Author keywords

[No Author keywords available]

Indexed keywords


EID: 77950462837     PISSN: 09270507     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0927-0507(06)13009-1     Document Type: Review
Times cited : (75)

References (92)
  • 2
    • 77950462352 scopus 로고    scopus 로고
    • Andradóttir, S., Glynn, P.W. (2004). Computing Bayesian means using simulation. Technical report, Georgia Tech, ISYE
    • Andradóttir, S., Glynn, P.W. (2004). Computing Bayesian means using simulation. Technical report, Georgia Tech, ISYE
  • 5
    • 0007994739 scopus 로고    scopus 로고
    • Simulating real systems
    • submitted for publication
    • Barton, R.R., Schruben, L.W. (2001). Simulating real systems, submitted for publication
    • (2001)
    • Barton, R.R.1    Schruben, L.W.2
  • 8
    • 51649134515 scopus 로고
    • An overview of robust Bayesian analysis
    • Berger J.O. An overview of robust Bayesian analysis. TEST 3 (1994) 5-124
    • (1994) TEST , vol.3 , pp. 5-124
    • Berger, J.O.1
  • 9
    • 84972514254 scopus 로고
    • Testing precise hypotheses (with discussion)
    • Berger J.O., and Delampady M. Testing precise hypotheses (with discussion). Statistical Science 2 (1987) 317-352
    • (1987) Statistical Science , vol.2 , pp. 317-352
    • Berger, J.O.1    Delampady, M.2
  • 11
    • 0002269120 scopus 로고
    • Limiting behaviour of posterior distributions when the model is incorrect
    • Berk R. Limiting behaviour of posterior distributions when the model is incorrect. Annals of Mathematical Statistics 37 1 (1966) 51-58
    • (1966) Annals of Mathematical Statistics , vol.37 , Issue.1 , pp. 51-58
    • Berk, R.1
  • 15
    • 0030212017 scopus 로고    scopus 로고
    • A lower bound for the correct subset-selection probability and its application to discrete event simulations
    • Chen C.-H. A lower bound for the correct subset-selection probability and its application to discrete event simulations. IEEE Transactions on Automatic Control 41 8 (1996) 1227-1231
    • (1996) IEEE Transactions on Automatic Control , vol.41 , Issue.8 , pp. 1227-1231
    • Chen, C.-H.1
  • 16
    • 77950485771 scopus 로고    scopus 로고
    • Chen, C.-H., Yücesan, E., Dai, L., Chen, H. (2006). Efficient computation of optimal budget allocation for discrete event simulation experiment. IIE Transactions, in press
    • Chen, C.-H., Yücesan, E., Dai, L., Chen, H. (2006). Efficient computation of optimal budget allocation for discrete event simulation experiment. IIE Transactions, in press
  • 17
    • 84963167637 scopus 로고
    • Monte Carlo estimation for guaranteed-coverage non-normal tolerance intervals
    • Chen H., and Schmeiser B. Monte Carlo estimation for guaranteed-coverage non-normal tolerance intervals. Journal of Statistical Computation and Simulation 51 2-4 (1995) 223-238
    • (1995) Journal of Statistical Computation and Simulation , vol.51 , Issue.2-4 , pp. 223-238
    • Chen, H.1    Schmeiser, B.2
  • 18
    • 0033314099 scopus 로고    scopus 로고
    • An asymptotic allocation for simultaneous simulation experiments
    • Farrington P.A., Nembhard H.B., Sturrock D., and Evans G. (Eds), IEEE Press, Piscataway, NJ
    • Chen H.-C., Chen C.-H., Lin J., and Yücesan E. An asymptotic allocation for simultaneous simulation experiments. In: Farrington P.A., Nembhard H.B., Sturrock D., and Evans G. (Eds). Proceedings of the 1999 Winter Simulation Conference (1999), IEEE Press, Piscataway, NJ 359-366
    • (1999) Proceedings of the 1999 Winter Simulation Conference , pp. 359-366
    • Chen, H.-C.1    Chen, C.-H.2    Lin, J.3    Yücesan, E.4
  • 19
    • 0033345528 scopus 로고    scopus 로고
    • Regression metamodelling in simulation using Bayesian methods
    • Farrington P.A., Nembhard H.B., Sturrock D., and Evans G. (Eds), IEEE Press, Piscataway, NJ
    • Cheng R.C.H. Regression metamodelling in simulation using Bayesian methods. In: Farrington P.A., Nembhard H.B., Sturrock D., and Evans G. (Eds). Proceedings of the 1999 Winter Simulation Conference (1999), IEEE Press, Piscataway, NJ 330-335
    • (1999) Proceedings of the 1999 Winter Simulation Conference , pp. 330-335
    • Cheng, R.C.H.1
  • 20
    • 1642560571 scopus 로고    scopus 로고
    • Prior and candidate models in the Bayesian analysis of finite mixtures
    • Chick S., Sánchez P., Ferrin D., and Morrice D. (Eds), IEEE Press, Piscataway, NJ
    • Cheng R.C.H., and Currie C.S. Prior and candidate models in the Bayesian analysis of finite mixtures. In: Chick S., Sánchez P., Ferrin D., and Morrice D. (Eds). Proceedings of the 2003 Winter Simulation Conference (2003), IEEE Press, Piscataway, NJ 392-398
    • (2003) Proceedings of the 2003 Winter Simulation Conference , pp. 392-398
    • Cheng, R.C.H.1    Currie, C.S.2
  • 22
    • 0031334224 scopus 로고    scopus 로고
    • Bayesian analysis for simulation input and output
    • Andradóttir S., Healy K., Withers D., and Nelson B. (Eds), IEEE Press, Piscataway, NJ
    • Chick S.E. Bayesian analysis for simulation input and output. In: Andradóttir S., Healy K., Withers D., and Nelson B. (Eds). Proceedings of the 1997 Winter Simulation Conference (1997), IEEE Press, Piscataway, NJ 253-260
    • (1997) Proceedings of the 1997 Winter Simulation Conference , pp. 253-260
    • Chick, S.E.1
  • 23
    • 0035461003 scopus 로고    scopus 로고
    • Input distribution selection for simulation experiments: Accounting for input uncertainty
    • Chick S.E. Input distribution selection for simulation experiments: Accounting for input uncertainty. Operations Research 49 5 (2001) 744-758
    • (2001) Operations Research , vol.49 , Issue.5 , pp. 744-758
    • Chick, S.E.1
  • 24
    • 17744377663 scopus 로고    scopus 로고
    • Bayesian methods for discrete event simulation
    • Ingalls R., Rossetti M., Smith J., and Peters B. (Eds), IEEE Press, Piscataway, NJ
    • Chick S.E. Bayesian methods for discrete event simulation. In: Ingalls R., Rossetti M., Smith J., and Peters B. (Eds). Proceedings of the 2004 Winter Simulation Conference (2004), IEEE Press, Piscataway, NJ 89-100
    • (2004) Proceedings of the 2004 Winter Simulation Conference , pp. 89-100
    • Chick, S.E.1
  • 25
    • 0035460965 scopus 로고    scopus 로고
    • New two-stage and sequential procedures for selecting the best simulated system
    • Chick S.E., and Inoue K. New two-stage and sequential procedures for selecting the best simulated system. Operations Research 49 5 (2001) 732-743
    • (2001) Operations Research , vol.49 , Issue.5 , pp. 732-743
    • Chick, S.E.1    Inoue, K.2
  • 26
    • 0035435933 scopus 로고    scopus 로고
    • New procedures for identifying the best simulated system using common random numbers
    • Chick S.E., and Inoue K. New procedures for identifying the best simulated system using common random numbers. Management Science 47 8 (2001) 1133-1149
    • (2001) Management Science , vol.47 , Issue.8 , pp. 1133-1149
    • Chick, S.E.1    Inoue, K.2
  • 27
    • 0036563019 scopus 로고    scopus 로고
    • Corrigendum: New selection procedures
    • Chick S.E., and Inoue K. Corrigendum: New selection procedures. Operations Research 50 3 (2002) 566
    • (2002) Operations Research , vol.50 , Issue.3 , pp. 566
    • Chick, S.E.1    Inoue, K.2
  • 29
    • 27344432350 scopus 로고    scopus 로고
    • Selection procedures with frequentist expected opportunity cost bounds
    • Chick S.E., and Wu Y. Selection procedures with frequentist expected opportunity cost bounds. Operations Research 53 5 (2005) 867-878
    • (2005) Operations Research , vol.53 , Issue.5 , pp. 867-878
    • Chick, S.E.1    Wu, Y.2
  • 30
    • 0043269266 scopus 로고    scopus 로고
    • Inferring infection transmission parameters that influence water treatment decisions
    • Chick S.E., Soorapanth S., and Koopman J.S. Inferring infection transmission parameters that influence water treatment decisions. Management Science 49 7 (2003) 920-935
    • (2003) Management Science , vol.49 , Issue.7 , pp. 920-935
    • Chick, S.E.1    Soorapanth, S.2    Koopman, J.S.3
  • 35
    • 0010940763 scopus 로고    scopus 로고
    • Intrinsic priors via Kullback-Leibler geometry
    • Oxford University Press, Oxford, UK
    • Dmochowski J. Intrinsic priors via Kullback-Leibler geometry. Bayesian Statistics 5 (1999), Oxford University Press, Oxford, UK 543-549
    • (1999) Bayesian Statistics 5 , pp. 543-549
    • Dmochowski, J.1
  • 36
    • 0002276308 scopus 로고
    • Assessment and propagation of model uncertainty (with discussion)
    • Draper D. Assessment and propagation of model uncertainty (with discussion). Journal of the Royal Statistical Society B 57 1 (1995) 45-97
    • (1995) Journal of the Royal Statistical Society B , vol.57 , Issue.1 , pp. 45-97
    • Draper, D.1
  • 37
    • 0002771487 scopus 로고
    • Allocation of observations in ranking and selection with unequal variances
    • Dudewicz E.J., and Dalal S.R. Allocation of observations in ranking and selection with unequal variances. Sankhyā B 37 1 (1975) 28-78
    • (1975) Sankhyā B , vol.37 , Issue.1 , pp. 28-78
    • Dudewicz, E.J.1    Dalal, S.R.2
  • 38
    • 0004128474 scopus 로고
    • Cambridge University Press, Cambridge, UK
    • Edwards A.W.F. Likelihood (1984), Cambridge University Press, Cambridge, UK
    • (1984) Likelihood
    • Edwards, A.W.F.1
  • 39
    • 84972543992 scopus 로고
    • Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems
    • Evans M., and Swartz T. Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems. Statistical Science 10 3 (1995) 254-272
    • (1995) Statistical Science , vol.10 , Issue.3 , pp. 254-272
    • Evans, M.1    Swartz, T.2
  • 40
    • 17744377782 scopus 로고    scopus 로고
    • Optimal computing budget allocation under correlated sampling
    • Ingalls R., Rossetti M., Smith J., and Peters B. (Eds), IEEE Press, Piscataway, NJ
    • Fu M.C., Hu J.-Q., Chen C.-H., and Xiong X. Optimal computing budget allocation under correlated sampling. In: Ingalls R., Rossetti M., Smith J., and Peters B. (Eds). Proceedings of the 2004 Winter Simulation Conference (2004), IEEE Press, Piscataway, NJ 595-603
    • (2004) Proceedings of the 2004 Winter Simulation Conference , pp. 595-603
    • Fu, M.C.1    Hu, J.-Q.2    Chen, C.-H.3    Xiong, X.4
  • 41
    • 0004581641 scopus 로고    scopus 로고
    • Stochastic search variable selection
    • Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds), Chapman and Hall, London
    • George E.I., and McCulloch R.E. Stochastic search variable selection. In: Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds). Markov Chain Monte Carlo in Practice (1996), Chapman and Hall, London 203-214
    • (1996) Markov Chain Monte Carlo in Practice , pp. 203-214
    • George, E.I.1    McCulloch, R.E.2
  • 43
    • 0003860037 scopus 로고    scopus 로고
    • Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds), Chapman and Hall, London
    • In: Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds). Markov Chain Monte Carlo in Practice (1996), Chapman and Hall, London
    • (1996) Markov Chain Monte Carlo in Practice
  • 44
    • 0022909697 scopus 로고
    • Problems in Bayesian analysis of stochastic simulation
    • Wilson J.R., Henriksen J.O., and Roberts S.D. (Eds), IEEE Press, Piscataway, NJ
    • Glynn P. Problems in Bayesian analysis of stochastic simulation. In: Wilson J.R., Henriksen J.O., and Roberts S.D. (Eds). Proceedings of the 1986 Winter Simulation Conference (1986), IEEE Press, Piscataway, NJ 376-383
    • (1986) Proceedings of the 1986 Winter Simulation Conference , pp. 376-383
    • Glynn, P.1
  • 45
    • 0012351381 scopus 로고    scopus 로고
    • Ranking and selection for steady-state simulation: Procedures and perspectives
    • Goldsman D., Kim S.-H., Marshall W.S., and Nelson B.L. Ranking and selection for steady-state simulation: Procedures and perspectives. INFORMS Journal on Computing 14 1 (2002) 2-19
    • (2002) INFORMS Journal on Computing , vol.14 , Issue.1 , pp. 2-19
    • Goldsman, D.1    Kim, S.-H.2    Marshall, W.S.3    Nelson, B.L.4
  • 46
    • 0000511415 scopus 로고
    • Bayesian look ahead one stage sampling allocations for selecting the largest normal mean
    • Gupta S.S., and Miescke K.J. Bayesian look ahead one stage sampling allocations for selecting the largest normal mean. Statistical Papers 35 (1994) 169-177
    • (1994) Statistical Papers , vol.35 , pp. 169-177
    • Gupta, S.S.1    Miescke, K.J.2
  • 47
    • 0030590294 scopus 로고    scopus 로고
    • Bayesian look ahead one-stage sampling allocations for selecting the best population
    • Gupta S.S., and Miescke K.J. Bayesian look ahead one-stage sampling allocations for selecting the best population. Journal of Statistical Planning and Inference 54 (1996) 229-244
    • (1996) Journal of Statistical Planning and Inference , vol.54 , pp. 229-244
    • Gupta, S.S.1    Miescke, K.J.2
  • 50
    • 84873751778 scopus 로고
    • An invariant form for the prior probability in estimation problems
    • Jeffreys H. An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London A 186 (1946) 453-461
    • (1946) Proceedings of the Royal Society of London A , vol.186 , pp. 453-461
    • Jeffreys, H.1
  • 52
    • 84972503977 scopus 로고
    • The geometry of asymptotic inference
    • Kass R.E. The geometry of asymptotic inference. Statistical Science 4 3 (1989) 188-234
    • (1989) Statistical Science , vol.4 , Issue.3 , pp. 188-234
    • Kass, R.E.1
  • 55
    • 0346963698 scopus 로고    scopus 로고
    • A fully sequential procedure for indifference-zone selection in simulation
    • Kim S.-H., and Nelson B.L. A fully sequential procedure for indifference-zone selection in simulation. ACM TOMACS 11 (2001) 251-273
    • (2001) ACM TOMACS , vol.11 , pp. 251-273
    • Kim, S.-H.1    Nelson, B.L.2
  • 58
    • 0001245532 scopus 로고
    • The queue inference engine: Deducing queue statistics from transactional data
    • Larson R.C. The queue inference engine: Deducing queue statistics from transactional data. Management Science 36 (1990) 586-601
    • (1990) Management Science , vol.36 , pp. 586-601
    • Larson, R.C.1
  • 60
    • 0033307335 scopus 로고    scopus 로고
    • Computing the distribution function of a conditional expectation via Monte Carlo: Discrete conditioning spaces
    • Farrington P.A., Nembhard H.B., Sturrock D., and Evans G. (Eds), IEEE Press, Piscataway, NJ
    • Lee S.-H., and Glynn P. Computing the distribution function of a conditional expectation via Monte Carlo: Discrete conditioning spaces. In: Farrington P.A., Nembhard H.B., Sturrock D., and Evans G. (Eds). Proceedings of the 1999 Winter Simulation Conference (1999), IEEE Press, Piscataway, NJ 1654-1663
    • (1999) Proceedings of the 1999 Winter Simulation Conference , pp. 1654-1663
    • Lee, S.-H.1    Glynn, P.2
  • 61
    • 0000810338 scopus 로고
    • A statistical paradox
    • Lindley D.V. A statistical paradox. Biometrika 44 (1957) 187-192
    • (1957) Biometrika , vol.44 , pp. 187-192
    • Lindley, D.V.1
  • 62
    • 0004075036 scopus 로고
    • Society of Industrial and Applied Mathematics, Philadelphia
    • Lindley D.V. Bayesian Statistics, A Review (1972), Society of Industrial and Applied Mathematics, Philadelphia
    • (1972) Bayesian Statistics, A Review
    • Lindley, D.V.1
  • 63
    • 0001473458 scopus 로고
    • A subjective Bayesian approach to the theory of queues, II - Inference and information in M / M / 1 queues
    • McGrath M.F., and Singpurwalla N.D. A subjective Bayesian approach to the theory of queues, II - Inference and information in M / M / 1 queues. Queueing Systems 1 (1987) 335-353
    • (1987) Queueing Systems , vol.1 , pp. 335-353
    • McGrath, M.F.1    Singpurwalla, N.D.2
  • 64
    • 0003181245 scopus 로고
    • A subjective Bayesian approach to the theory of queues I - Modeling
    • McGrath M.F., Gross D., and Singpurwalla N.D. A subjective Bayesian approach to the theory of queues I - Modeling. Queueing Systems 1 (1987) 317-333
    • (1987) Queueing Systems , vol.1 , pp. 317-333
    • McGrath, M.F.1    Gross, D.2    Singpurwalla, N.D.3
  • 66
    • 0000691109 scopus 로고
    • Applications of a method for the efficient computation of posterior distributions
    • Naylor J., and Smith A. Applications of a method for the efficient computation of posterior distributions. Applied Statistics 31 (1982) 214-225
    • (1982) Applied Statistics , vol.31 , pp. 214-225
    • Naylor, J.1    Smith, A.2
  • 68
    • 0035521447 scopus 로고    scopus 로고
    • Simple procedures for selecting the best simulated system when the number of alternatives is large
    • Nelson B.L., Swann J., Goldsman D., and Song W. Simple procedures for selecting the best simulated system when the number of alternatives is large. Operations Research 49 6 (2001) 950-963
    • (2001) Operations Research , vol.49 , Issue.6 , pp. 950-963
    • Nelson, B.L.1    Swann, J.2    Goldsman, D.3    Song, W.4
  • 69
    • 0035696593 scopus 로고    scopus 로고
    • Reducing input distribution uncertainty for simulations
    • Peters B., Smith J., Rohrer M., and Madeiros D. (Eds), IEEE Press, Piscataway, NJ
    • Ng S.-H., and Chick S.E. Reducing input distribution uncertainty for simulations. In: Peters B., Smith J., Rohrer M., and Madeiros D. (Eds). Proceedings of the 2001 Winter Simulation Conference (2001), IEEE Press, Piscataway, NJ 364-371
    • (2001) Proceedings of the 2001 Winter Simulation Conference , pp. 364-371
    • Ng, S.-H.1    Chick, S.E.2
  • 70
    • 9744246868 scopus 로고    scopus 로고
    • Design of follow-up experiments for improving model discrimination and parameter estimation
    • Ng S.-H., and Chick S.E. Design of follow-up experiments for improving model discrimination and parameter estimation. Naval Research Logistics 51 8 (2004) 1129-1148
    • (2004) Naval Research Logistics , vol.51 , Issue.8 , pp. 1129-1148
    • Ng, S.-H.1    Chick, S.E.2
  • 72
    • 1342303658 scopus 로고    scopus 로고
    • Estimating percentiles of uncertain computer code outputs
    • Oakley J. Estimating percentiles of uncertain computer code outputs. Applied Statistics 53 (2004) 83-93
    • (2004) Applied Statistics , vol.53 , pp. 83-93
    • Oakley, J.1
  • 73
    • 0001857092 scopus 로고
    • Fractional Bayes factors for model comparison (with discussion)
    • O'Hagan A. Fractional Bayes factors for model comparison (with discussion). Journal of the Royal Statistical Society Series B 56 (1995) 99-118
    • (1995) Journal of the Royal Statistical Society Series B , vol.56 , pp. 99-118
    • O'Hagan, A.1
  • 74
    • 0002503187 scopus 로고    scopus 로고
    • Uncertainty analysis and other inference tools for complex computer codes (with discussion)
    • Oxford University Press, Oxford, UK
    • O'Hagan A., Kennedy M., and Oakley J. Uncertainty analysis and other inference tools for complex computer codes (with discussion). Bayesian Statistics 6 (1999), Oxford University Press, Oxford, UK 503-524
    • (1999) Bayesian Statistics 6 , pp. 503-524
    • O'Hagan, A.1    Kennedy, M.2    Oakley, J.3
  • 75
    • 0036847164 scopus 로고    scopus 로고
    • A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods
    • O'Neill P.D. A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods. Mathematical Bioscienses 180 (2002) 103-114
    • (2002) Mathematical Bioscienses , vol.180 , pp. 103-114
    • O'Neill, P.D.1
  • 76
    • 0001201909 scopus 로고
    • Bayesian model selection in social research (with discussion by A. Gelman, D.B. Rubin, and R.M. Hauser, and a rejoinder)
    • Marsden P.V. (Ed), Blackwell, Cambridge, MA
    • Raftery A.E. Bayesian model selection in social research (with discussion by A. Gelman, D.B. Rubin, and R.M. Hauser, and a rejoinder). In: Marsden P.V. (Ed). Sociological Methodology 1995 (1995), Blackwell, Cambridge, MA 111-196
    • (1995) Sociological Methodology 1995 , pp. 111-196
    • Raftery, A.E.1
  • 77
    • 18244378520 scopus 로고    scopus 로고
    • On Bayesian analysis of mixtures with an unknown number of components
    • Richardson S., and Green P. On Bayesian analysis of mixtures with an unknown number of components. Journal of the Royal Statistical Society B 59 4 (1997) 731-792
    • (1997) Journal of the Royal Statistical Society B , vol.59 , Issue.4 , pp. 731-792
    • Richardson, S.1    Green, P.2
  • 78
    • 0001552833 scopus 로고
    • On two-stage selection procedures and related probability-inequalities
    • Rinott Y. On two-stage selection procedures and related probability-inequalities. Communications in Statistics A 7 8 (1978) 799-811
    • (1978) Communications in Statistics A , vol.7 , Issue.8 , pp. 799-811
    • Rinott, Y.1
  • 82
    • 0030395998 scopus 로고    scopus 로고
    • Uncertainty and sensitivity studies of models of environmental systems
    • Charnes J.M., Morrice D.J., Brunner D.T., and Swain J.J. (Eds), IEEE Press, Piscataway, NJ
    • Scott E.M. Uncertainty and sensitivity studies of models of environmental systems. In: Charnes J.M., Morrice D.J., Brunner D.T., and Swain J.J. (Eds). Proceedings of the 1996 Winter Simulation Conference (1996), IEEE Press, Piscataway, NJ 255-259
    • (1996) Proceedings of the 1996 Winter Simulation Conference , pp. 255-259
    • Scott, E.M.1
  • 84
    • 0002195443 scopus 로고    scopus 로고
    • Hepatitis B: A case study in MCMC methods
    • Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds), Chapman and Hall, London
    • Spiegelhalter D.J., Best N.G., Gilks W.R., and Inskip H. Hepatitis B: A case study in MCMC methods. In: Gilks W.R., Richardson S., and Spiegelhalter D.J. (Eds). Markov Chain Monte Carlo in Practice (1996), Chapman and Hall, London 21-44
    • (1996) Markov Chain Monte Carlo in Practice , pp. 21-44
    • Spiegelhalter, D.J.1    Best, N.G.2    Gilks, W.R.3    Inskip, H.4
  • 85
    • 1642519696 scopus 로고    scopus 로고
    • A kernel approach to estimating the density of a conditional expectation
    • Chick S., Sánchez P., Ferrin D., and Morrice D. (Eds), IEEE Press, Piscataway, NJ
    • Steckley S.G., and Henderson S.G. A kernel approach to estimating the density of a conditional expectation. In: Chick S., Sánchez P., Ferrin D., and Morrice D. (Eds). Proceedings of the 2003 Winter Simulation Conference (2003), IEEE Press, Piscataway, NJ 383-391
    • (2003) Proceedings of the 2003 Winter Simulation Conference , pp. 383-391
    • Steckley, S.G.1    Henderson, S.G.2
  • 87
    • 28344439095 scopus 로고    scopus 로고
    • The Mathworks , Natick, MA, USA
    • The Mathworks (2002). Getting started with MATLAB. Natick, MA, USA
    • (2002) Getting started with MATLAB
  • 89
    • 0000576729 scopus 로고
    • The significance of the difference between two means when the population variances are unequal
    • Welch B.L. The significance of the difference between two means when the population variances are unequal. Biometrika 25 (1938) 350-362
    • (1938) Biometrika , vol.25 , pp. 350-362
    • Welch, B.L.1
  • 91
    • 0042736285 scopus 로고    scopus 로고
    • Accounting for parameter uncertainty in simulation input modeling
    • Zouaoui F., and Wilson J.R. Accounting for parameter uncertainty in simulation input modeling. IIE Transactions 35 (2003) 781-792
    • (2003) IIE Transactions , vol.35 , pp. 781-792
    • Zouaoui, F.1    Wilson, J.R.2
  • 92
    • 4744376500 scopus 로고    scopus 로고
    • Accounting for input-model and input-parameter uncertainties in simulation
    • Zouaoui F., and Wilson J.R. Accounting for input-model and input-parameter uncertainties in simulation. IIE Transactions 36 11 (2004) 1135-1151
    • (2004) IIE Transactions , vol.36 , Issue.11 , pp. 1135-1151
    • Zouaoui, F.1    Wilson, J.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.