Please use this identifier to cite or link to this item: https://doi.org/10.1080/16843703.2018.1542965
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dc.titleBayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models
dc.contributor.authorGuilin Li
dc.contributor.authorSzu Hui Ng
dc.contributor.authorMatthias Hwai-yong Tan
dc.date.accessioned2020-01-13T06:14:19Z
dc.date.available2020-01-13T06:14:19Z
dc.date.issued2018-11-20
dc.identifier.citationGuilin 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
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/163694
dc.publisherTaylor & Francis
dc.sourceTaylor & Francis
dc.typeArticle
dc.contributor.departmentDEPT OF INDUSTRIAL SYSTEMS ENGG & MGT
dc.description.doi10.1080/16843703.2018.1542965
dc.description.sourcetitleQuality Technology & Quantitative Management
dc.description.volume17
dc.description.issue01
dc.description.page89-107
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