Please use this identifier to cite or link to this item: https://doi.org/10.1080/16843703.2018.1542965
Title: Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models
Authors: Guilin Li
Szu Hui Ng 
Matthias Hwai-yong Tan
Issue Date: 20-Nov-2018
Publisher: Taylor & Francis
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
Source Title: Quality Technology & Quantitative Management
URI: https://scholarbank.nus.edu.sg/handle/10635/163694
DOI: 10.1080/16843703.2018.1542965
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10.108016843703.2018.1542965.zip1.83 MBZIP

OPEN

NoneView/Download

Page view(s)

70
checked on Oct 16, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.