Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models
10.1080/16843703.2018.1542965
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sg-nus-scholar.10635-1636942024-04-05T02:07:33Z Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models Guilin Li Szu Hui Ng Matthias Hwai-yong Tan INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT 10.1080/16843703.2018.1542965 Quality Technology & Quantitative Management 17 01 89-107 2020-01-13T06:14:19Z 2020-01-13T06:14:19Z 2018-11-20 Article Guilin Li, Szu Hui Ng, Matthias Hwai-yong Tan (2018-11-20). Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models. Quality Technology & Quantitative Management 17 (01) : 89-107. ScholarBank@NUS Repository. https://doi.org/10.1080/16843703.2018.1542965 https://scholarbank.nus.edu.sg/handle/10635/163694 Taylor & Francis Taylor & Francis |
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10.1080/16843703.2018.1542965 |
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INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT |
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INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT Guilin Li Szu Hui Ng Matthias Hwai-yong Tan |
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Guilin Li Szu Hui Ng Matthias Hwai-yong Tan |
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Guilin Li Szu Hui Ng Matthias Hwai-yong Tan Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models |
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Guilin Li |
title |
Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models |
title_short |
Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models |
title_full |
Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models |
title_fullStr |
Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models |
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Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models |
title_sort |
bayesian optimal designs for efficient estimation of the optimum point with generalised linear models |
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Taylor & Francis |
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2020 |
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https://scholarbank.nus.edu.sg/handle/10635/163694 |
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1800913877535293440 |