Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution

Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution

D-optimal designs are frequently used in controlled experiments to obtain the most accurate estimate of model parameters at minimal cost. Finding them can be a challenging task, especially when there are many factors in a nonlinear model. As the number of factors becomes large and interacts with one...

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Bibliographic Details
Main Authors: Weinan Xu, Weng Kee Wong, Kay Chen Tan, Jian-Xin Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Approximate design
design efficiency
generalized linear model
high-dimensional
non-separable
sensitivity function
Online Access:https://ieeexplore.ieee.org/document/8598838/

Internet

https://ieeexplore.ieee.org/document/8598838/

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