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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 42, 2010 - Issue 1
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Articles

Comparing Computer Experiments for Fitting High-Order Polynomial Metamodels

Rachel T. JohnsonNaval Postgraduate School, Operations Research Department, Monterey, California93943, USAView further author information
,
Douglas C. MontgomeryArizona State University, Tempe, Arizona85287-5906, USAView further author information
,
Bradley JonesSAS Institute, SAS Campus Drive, Cary, North Carolina27513, USAView further author information
&
Peter A. ParkerNational Aeronautics and Space Administration, Hampton, Virginia23681, USAView further author information
Pages 86-102 | Published online: 21 Nov 2017

Citations (14)

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Read on this site (2)

Bradley Jones, Rachel T. Silvestrini, Douglas C. Montgomery & David M. Steinberg. (2015) Bridge Designs for Modeling Systems With Low Noise. Technometrics 57:2, pages 155-163.
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RachelT. Silvestrini, DouglasC. Montgomery & Bradley Jones. (2013) Comparing Computer Experiments for the Gaussian Process Model Using Integrated Prediction Variance. Quality Engineering 25:2, pages 164-174.
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Articles from other publishers (12)

Manav Mahan Singh, Sundaravelpandian Singaravel & Philipp Geyer. (2021) Machine learning for early stage building energy prediction: Increment and enrichment. Applied Energy 304, pages 117787.
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Lu Lu & Christine M. Anderson‐Cook. (2020) Strategies for sequential design of experiments and augmentation. Quality and Reliability Engineering International 37:5, pages 1740-1757.
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Christine M. McAnulty & David J. Edwards. (2020) A comparison of experimental designs for calibration. Chemometrics and Intelligent Laboratory Systems 202, pages 104025.
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Mohammad Hadigol & Alireza Doostan. (2018) Least squares polynomial chaos expansion: A review of sampling strategies. Computer Methods in Applied Mechanics and Engineering 332, pages 382-407.
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Douglas C. Montgomery & Rachel T. Silvestrini. 2018. Frontiers in Statistical Quality Control 12. Frontiers in Statistical Quality Control 12 279 291 .
Thomas J. Santner, Brian J. Williams & William I. NotzThomas J. Santner, Brian J. Williams & William I. Notz. 2018. The Design and Analysis of Computer Experiments. The Design and Analysis of Computer Experiments 67 114 .
Xingzhi Hu, Xiaoqian Chen, Geoffrey T. Parks & Wen Yao. (2016) Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles. Progress in Aerospace Sciences 86, pages 20-27.
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Liesje Van Gelder, Payel Das, Hans Janssen & Staf Roels. (2014) Comparative study of metamodelling techniques in building energy simulation: Guidelines for practitioners. Simulation Modelling Practice and Theory 49, pages 245-257.
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Mohammad Mahdi Rajabi & Behzad Ataie-Ashtiani. (2014) Sampling efficiency in Monte Carlo based uncertainty propagation strategies: Application in seawater intrusion simulations. Advances in Water Resources 67, pages 46-64.
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Hans Janssen. (2013) Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence. Reliability Engineering & System Safety 109, pages 123-132.
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Rachel T. Johnson, Douglas C. Montgomery & Kathryn S. Kennedy. 2012. Frontiers in Statistical Quality Control 10. Frontiers in Statistical Quality Control 10 287 301 .
James N. Cawse, Gianluca Gazzola & Norman Packard. (2011) Efficient discovery and optimization of complex high-throughput experiments. Catalysis Today 159:1, pages 55-63.
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