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Follow-up experimental designs for computer models and physical processes

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Publication:539835
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DOI10.1080/15598608.2011.10412055zbMathNoneOpenAlexW2082752737MaRDI QIDQ539835

James Paul Holloway, Shane Reese, Chuan-Chih Chou, Pritam Ranjan, Brian J. Williams, Forrest W. Doss, Derek R. Bingham, Michael J. Grosskopf, Wilson W. Lu

Publication date: 31 May 2011

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2011.10412055

zbMATH Keywords

Gaussian processmodel calibrationintegrated mean squared error


Mathematics Subject Classification ID

Statistics (62-XX)




Cites Work

  • Efficient global optimization of expensive black-box functions
  • The design and analysis of computer experiments.
  • Design and analysis of computer experiments. With comments and a rejoinder by the authors
  • Obtaining minimum-correlation Latin hypercube sampling plans using an IP-based heuristic
  • Bayesian Calibration of Computer Models
  • A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
  • Latin supercube sampling for very high-dimensional simulations
  • Orthogonal Array-Based Latin Hypercubes
  • Combining Field Data and Computer Simulations for Calibration and Prediction
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