Experimental Design for Nonlinear Problems
Experimental designs for nonlinear problems have to a large extent relied on optimality criteria originally proposed for linear models. Optimal designs obtained for nonlinear models are functions of the unknown model parameters. They cannot, therefore, be directly implemented without some knowledge...
Main Author: | K.M Abdelbasit |
---|---|
Format: | Article |
Language: | English |
Published: |
Sultan Qaboos University
2007-06-01
|
Series: | Sultan Qaboos University Journal for Science |
Subjects: | |
Online Access: | https://journals.squ.edu.om/index.php/squjs/article/view/399 |
Similar Items
-
Adaptive designs for dose response studies
by: Chang, Yu-Hui Huang
Published: (2010) -
Asymptotic theory for decentralized sequential hypothesis testing problems and sequential minimum energy design algorithm
by: Wang, Yan
Published: (2011) -
A comparison of adaptive designs in clinical trials : when multiple treatments are tested in multiple stages
by: Park, Sukyung
Published: (2014) -
Bayesian Optimization for Adaptive Experimental Design: A Review
by: Stewart Greenhill, et al.
Published: (2020-01-01) -
Quality in Unimode and Mixed-Mode designs: A Multitrait-Multimethod approach
by: Melanie Revilla
Published: (2010-12-01)