Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models

Please use this identifier to cite or link to this item: https://doi.org/10.1080/16843703.2018.1542965

DC Field	Value
dc.title	Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models
dc.contributor.author	Guilin Li
dc.contributor.author	Szu Hui Ng
dc.contributor.author	Matthias Hwai-yong Tan
dc.date.accessioned	2020-01-13T06:14:19Z
dc.date.available	2020-01-13T06:14:19Z
dc.date.issued	2018-11-20
dc.identifier.citation	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
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/163694
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
dc.description.doi	10.1080/16843703.2018.1542965
dc.description.sourcetitle	Quality Technology & Quantitative Management
dc.description.volume	17
dc.description.issue	01
dc.description.page	89-107
Appears in Collections:	Staff Publications Elements

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