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Asymptotically optimum experimental designs for prediction of deterministic functions given derivative information

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Publication:1338383
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DOI10.1016/0378-3758(94)90030-2zbMath0803.62065OpenAlexW2077554657MaRDI QIDQ1338383

Donald Ylvisaker, Max D. Morris, Toby J. Mitchell

Publication date: 5 January 1995

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)90030-2



zbMATH Keywords

minimaxA-optimalitycomputer experimentsderivative informationmaximin distance designsasymptotically D-optimum designsasymptotically G-optimum designsdeterministic response surface experiments


Mathematics Subject Classification ID

Optimal statistical designs (62K05)


Cites Work

  • New spherical 4-designs
  • Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
  • Unnamed Item


Related Items (2)

On the Instability Issue of Gradient-Enhanced Gaussian Process Emulators for Computer Experiments ⋮ Enhancing response predictions with a joint Gaussian process model for stochastic simulation models





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