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Technometrics Volume 57, 2015 - Issue 4
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Original Articles

Robust Parameter Design With Computer Experiments Using Orthonormal Polynomials

Matthias Hwai Yong TanDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong ([email protected])
Pages 468-478 | Received 01 Jan 2014, Published online: 18 Nov 2015

Citations (11)

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Read on this site (4)

Fan Jiang, Matthias Hwai Yong Tan & Kwok-Leung Tsui. (2021) Multiple-target robust design with multiple functional outputs. IISE Transactions 53:9, pages 1052-1066.
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Guilin Li, Matthias Hwai-yong Tan & Szu Hui Ng. (2019) Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function. IISE Transactions 51:5, pages 517-530.
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V. Roshan Joseph, Li Gu, Shan Ba & William R. Myers. (2019) Space-Filling Designs for Robustness Experiments. Technometrics 61:1, pages 24-37.
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Weijie Shen. (2017) Robust Parameter Designs in Computer Experiments Using Stochastic Approximation. Technometrics 59:4, pages 471-483.
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Articles from other publishers (7)

Mei Han, Qianqian Huang, Linhan Ouyang & Xufeng Zhao. (2021) A kriging-based active learning algorithm for contour estimation of integrated response with noise factors. Engineering with Computers 39:2, pages 1341-1362.
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Xuejun Liu, Hailong Tang, Xin Zhang & Min Chen. (2021) Gaussian Process Model-Based Performance Uncertainty Quantification of a Typical Turboshaft Engine. Applied Sciences 11:18, pages 8333.
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Matthias H. Y. Tan. (2020) Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise. SIAM/ASA Journal on Uncertainty Quantification 8:3, pages 891-925.
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Ping Jiang, Qi Zhou & Xinyu ShaoPing Jiang, Qi Zhou & Xinyu Shao. 2020. Surrogate Model-Based Engineering Design and Optimization. Surrogate Model-Based Engineering Design and Optimization 135 236 .
Zhenyu Liu, Xiang Peng, Chan Qiu, Jianrong Tan, Guifang Duan & Jin Cheng. (2016) Simulation-based robust design of complex product considering uncertainties of metamodel, design variables, and noise parameters. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231:20, pages 3715-3727.
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Jack P.C. KleijnenJack P. C. Kleijnen. 2015. Design and Analysis of Simulation Experiments. Design and Analysis of Simulation Experiments 241 300 .
Jack P.C. KleijnenJack P. C. Kleijnen. 2015. Design and Analysis of Simulation Experiments. Design and Analysis of Simulation Experiments 179 239 .

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