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Volumn , Issue , 2008, Pages 463-470

Comparing designs for computer simulation experiments

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ENVIRONMENTS; COMPUTER SIMULATION EXPERIMENTS; ENABLING TOOLS; EXPERIMENTAL DESIGNS; GAUSSIAN PROCESS MODELS; LOW-ORDER POLYNOMIALS; MODELING AND ANALYSIS; OPTIMAL DESIGNS; PREDICTION VARIANCES; RESEARCH USE; RESPONSE DATUM; SECOND-ORDER POLYNOMIALS; SPACE FILLINGS;

EID: 60749125788     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2008.4736101     Document Type: Conference Paper
Times cited : (14)

References (23)
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    • (1991) Journal of the American Statistical Association , vol.86 , pp. 953-963
    • Currin, C.1    Mitchell, T.J.2    Morris, M.D.3    Ylvisaker, D.4
  • 4
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    • The Uniform Design: Application of Number-Theoretic Methods in Experimental Design
    • Fang, K.T. 1980. The Uniform Design: Application of Number-Theoretic Methods in Experimental Design. Acta Math. Appl. Sinica. 3:363 - 372.
    • (1980) Acta Math. Appl. Sinica , vol.3 , pp. 363-372
    • Fang, K.T.1
  • 5
    • 60749094459 scopus 로고
    • Graphical Assessment of the Prediction Capability of Response Surface Designs
    • Giovannitti-Jensen, A. and Myers, R. H. 1989. Graphical Assessment of the Prediction Capability of Response Surface Designs. Technometrics 19:117-130.
    • (1989) Technometrics , vol.19 , pp. 117-130
    • Giovannitti-Jensen, A.1    Myers, R.H.2
  • 6
    • 60749090551 scopus 로고    scopus 로고
    • Statistical Aspects of Forecast Planning for Hurricanes
    • Iman, R.L., Johnson, M.E., and Watson, C.C. 2006. Statistical Aspects of Forecast Planning for Hurricanes. The American Statistician 60(2):1713 - 1726.
    • (2006) The American Statistician , vol.60 , Issue.2 , pp. 1713-1726
    • Iman, R.L.1    Johnson, M.E.2    Watson, C.C.3
  • 14
    • 0030211445 scopus 로고    scopus 로고
    • Quantile Plots of the Prediction Variance for Response Surface Designs
    • Khuri, A., Kim, H. J., and Um, Y. 1996. Quantile Plots of the Prediction Variance for Response Surface Designs. Computational Statistics & Data Analysis 22:395-407.
    • (1996) Computational Statistics & Data Analysis , vol.22 , pp. 395-407
    • Khuri, A.1    Kim, H.J.2    Um, Y.3
  • 15
    • 0018468345 scopus 로고
    • A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
    • McKay, N. D., Conover, W. J., Beckman, R. J. 1979. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics 21:239 - 245.
    • (1979) Technometrics , vol.21 , pp. 239-245
    • McKay, N.D.1    Conover, W.J.2    Beckman, R.J.3
  • 19
    • 35549002315 scopus 로고    scopus 로고
    • Customized Sequential Designs for Random Simulation Experiments: Kriging metamodeling and Bootstrapping
    • Van Beers, W.C.M. and Kleijnen, J.P.C. 2008. Customized Sequential Designs for Random Simulation Experiments: Kriging metamodeling and Bootstrapping. European Journal of Operations Research 186:1099 - 1113.
    • (2008) European Journal of Operations Research , vol.186 , pp. 1099-1113
    • Van Beers, W.C.M.1    Kleijnen, J.P.C.2
  • 20
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    • A Note on Uniform Distribution and Experimental Design
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    • Wang, Y.1    Fang, K.T.2
  • 21
    • 3042537466 scopus 로고    scopus 로고
    • Hurricane Loss Estimation Models: Opportunities for Improving the State of the Art
    • Watson, C.C. and Johnson, M.E. 2004. Hurricane Loss Estimation Models: Opportunities for Improving the State of the Art. Bulletin of the American Meteorlogical Society 85:1713 - 1726.
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  • 23
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    • Zahran, A.1    Anderson-Cook, C.M.2    Myers, R.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.