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Volumn 54, Issue 3, 2003, Pages 255-262

Kriging for interpolation in random simulation

Author keywords

Methodology; Regression; Simulation; Statistics; Stochastic

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; INTERPOLATION; REGRESSION ANALYSIS;

EID: 0037356053     PISSN: 01605682     EISSN: None     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2601492     Document Type: Article
Times cited : (211)

References (16)
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    • Screening methods
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  • 4
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    • (1997) Reliability Eng Systems Saf , vol.57 , pp. 91-102
    • Van Groenendaal, W.J.H.1    Kleijnen, J.P.C.2
  • 5
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    • Statistical analyses of scatter plots to identify important factors in large-scale simulations
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    • (1999) Reliability Eng Systems Saf , vol.65 , pp. 147-197
    • Kleijnen, J.P.C.1    Helton, J.2
  • 8
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    • Computer experiments
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    • Koehler, J.R.1    Owen, A.B.2
  • 9
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    • Jones DR, Schonlau M and Welch WJ (1998). Efficient global optimization of expensive black-box functions. J Global Optim 13: 455-492.
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    • Jones, D.R.1    Schonlau, M.2    Welch, W.J.3
  • 12
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    • Simulating temperature-dependent ecological processes at the sub-continental scale: Male gypsy moth flight phenology
    • Régnière JandSharov A (1999). Simulating temperature-dependent ecological processes at the sub-continental scale: male gypsy moth flight phenology. Int J Biometereol 42: 146-152.
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    • Two-stage versus sequential sample-size determination in regression analysis of simulation experiments
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    • Kriging metamodels for global approximation in simulation-based multidisciplinary design optimization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.