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Journal of the Operational Research Society Volume 66, 2015 - Issue 11
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General Paper

Classic Kriging versus Kriging with bootstrapping or conditional simulation: classic Kriging’s robust confidence intervals and optimization

Ehsan MehdadTilburg UniversityTilburgthe NetherlandsCorrespondence[email protected]
&
Jack P C KleijnenTilburg UniversityTilburgthe Netherlands
Pages 1804-1814 | Received 23 Jan 2014, Accepted 20 Nov 2014, Published online: 21 Dec 2017

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Qian Xiao, Yaping Wang, Abhyuday Mandal & Xinwei Deng. (2024) Modeling and Active Learning for Experiments with Quantitative-Sequence Factors. Journal of the American Statistical Association 119:545, pages 407-421.
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Zebiao Feng, Jianjun Wang, Yizhong Ma & Xiaojian Zhou. (2023) Robust optimization with uncertainty using a stochastic multivariate Gaussian process model. Engineering Optimization 55:11, pages 1847-1860.
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Linhan Ouyang, Mei Han, Yizhong Ma, Min Wang & Chanseok Park. (2023) Simulation optimization using stochastic kriging with robust statistics. Journal of the Operational Research Society 74:3, pages 623-636.
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Zebiao Feng, Jianjun Wang, Yan Ma & Yizhong Ma. (2021) Integrated parameter and tolerance design based on a multivariate Gaussian process model. Engineering Optimization 53:8, pages 1349-1368.
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Zebiao Feng, Jianjun Wang, Yizhong Ma & Yiliu Tu. (2021) Robust parameter design based on Gaussian process with model uncertainty. International Journal of Production Research 59:9, pages 2772-2788.
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Mohammad Tabatabaei, Markus Hartikainen, Karthik Sindhya, Jussi Hakanen & Kaisa Miettinen. (2019) An interactive surrogate-based method for computationally expensive multiobjective optimisation. Journal of the Operational Research Society 70:6, pages 898-914.
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Ehsan Mehdad & Jack P. C. Kleijnen. (2018) Efficient global optimisation for black-box simulation via sequential intrinsic Kriging. Journal of the Operational Research Society 69:11, pages 1725-1737.
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Wenjing Wang & Xi Chen. (2018) An adaptive two-stage dual metamodeling approach for stochastic simulation experiments. IISE Transactions 50:9, pages 820-836.
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Articles from other publishers (15)

Qi Zhou, Min Zhao, Jiexiang Hu & Mengying MaQi Zhou, Min Zhao, Jiexiang Hu & Mengying Ma. 2023. Multi-fidelity Surrogates. Multi-fidelity Surrogates 1 38 .
Yan Ma, Jianjun Wang, Zebiao Feng & Yiliu Tu. (2022) Multi-stage online robust parameter design based on Bayesian GP model. Computers & Industrial Engineering 172, pages 108551.
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Zebiao Feng, Jianjun Wang, Yizhong Ma & Xiaojian Zhou. (2022) Multi-response robust optimization using GP model with variance calibration. Computers & Industrial Engineering 169, pages 108299.
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Jack P. C. Kleijnen & Wim C. M. van Beers. (2022) Statistical Tests for Cross-Validation of Kriging Models. INFORMS Journal on Computing 34:1, pages 607-621.
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Lianyan Zhu, Linhan Ouyang & Feng Wu. (2022) Robust Optimization Design of Supply Chain Based on Correlated Multi-Performance Responses. Journal of Physics: Conference Series 2185:1, pages 012027.
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Lili Zhang, Jiexiang Hu, Xiangzheng Meng & Peng Jin. (2021) An efficient optimization method for periodic lattice cellular structure design based on the K-fold SVR model. Engineering with Computers.
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Xi Chen & Qiang Zhou. (2017) Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation. European Journal of Operational Research 262:2, pages 575-585.
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Xi Chen & Kyoung-Kuk Kim. (2016) Efficient VaR and CVaR Measurement via Stochastic Kriging. INFORMS Journal on Computing 28:4, pages 629-644.
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Nuno Ricardo Costa & João Lourenço. (2015) Gaussian Process Model – An Exploratory Study in the Response Surface Methodology. Quality and Reliability Engineering International 32:7, pages 2367-2380.
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Jack P.C. Kleijnen & Ehsan Mehdad. (2016) Estimating the variance of the predictor in stochastic Kriging. Simulation Modelling Practice and Theory 66, pages 166-173.
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Bogumił Kamiński. (2015) A method for the updating of stochastic kriging metamodels. European Journal of Operational Research 247:3, pages 859-866.
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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 .
Yan Ma, Jianjun Wang, Zebiao Feng & Yiliu (Paul) Tu. (2022) Multi-Stage Online Robust Parameter Design Based on Bayesian Gp Model. SSRN Electronic Journal.
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Jack P. C. Kleijnen & Ehsan Mehdad. (2015) Estimating the Variance of the Predictor in Stochastic Kriging. SSRN Electronic Journal.
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