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A statistical method for tuning a computer code to a data base

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  • Cox, Dennis D.
  • Park, Jeong-Soo
  • Singer, Clifford E.

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  • Cox, Dennis D. & Park, Jeong-Soo & Singer, Clifford E., 2001. "A statistical method for tuning a computer code to a data base," Computational Statistics & Data Analysis, Elsevier, vol. 37(1), pages 77-92, July.
    • Handle: RePEc:eee:csdana:v:37:y:2001:i:1:p:77-92
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    References listed on IDEAS

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    1. Gregory, Allan W. & Smith, Gregor W., 1987. "Calibration as Estimation," Queen's Institute for Economic Research Discussion Papers 275210, Queen's University - Department of Economics.
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    Cited by:

    1. Huaimin Diao & Yan Wang & Dianpeng Wang, 2022. "A D-Optimal Sequential Calibration Design for Computer Models," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    2. Trucano, T.G. & Swiler, L.P. & Igusa, T. & Oberkampf, W.L. & Pilch, M., 2006. "Calibration, validation, and sensitivity analysis: What's what," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1331-1357.
    3. Weiyan Mu & Chengxin Liu & Shifeng Xiong, 2023. "Nested Maximum Entropy Designs for Computer Experiments," Mathematics, MDPI, vol. 11(16), pages 1-12, August.
    4. Merlin Keller & Guillaume Damblin & Alberto Pasanisi & Mathieu Schumann & Pierre Barbillon & Fabrizio Ruggeri & Eric Parent, 2022. "Validation of a Computer Code for the Energy Consumption of a Building, with Application to Optimal Electric Bill Pricing," Econometrics, MDPI, vol. 10(4), pages 1-24, November.
    5. Wang, Sumin & Wang, Dongying & Sun, Fasheng, 2019. "A central limit theorem for marginally coupled designs," Statistics & Probability Letters, Elsevier, vol. 146(C), pages 168-174.
    6. Merlin Keller & Guillaume Damblin & Alberto Pasanisi & Mathieu Schumann & Pierre Barbillon & Fabrizio Ruggeri, 2022. "Validation of a Computer Code for the Energy Consumption of a Building, with Application to Optimal Electric Bill Pricing," Post-Print hal-04071903, HAL.

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