Optimal Experimental Design for Parameter Estimation and Contaminant Plume Characterization in Groundwater Modelling

McPhee, James; Yeh, William W.‐G.

doi:10.1002/0470857005.ch9

Cited by 3 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Applications of optimal design ideas are increasingly applied to traditional disciplines in new and interesting ways and also to cross-disciplinary areas. In Berger and Wong (2005), they documented some recent applications of optimal design ideas to solve real problems, including developing optimal designs for groundwater modeling problems (McPhee and Yeh, 2005) and designing an optimal design in the measurement of cerebral blood flow using the Kety-Schmidt technique (Matthews and James, 2005). Optimal designs have also been developed for longitudinal studies, see for example, Ouwens-Mario et al (2002) and Tekle al et.…”

Section: Introductionmentioning

confidence: 99%

Web-based tools for finding optimal designs in biomedical studies

Wong

2013

Computer Methods and Programs in Biomedicine

View full text Add to dashboard Cite

Experimental costs are rising and applications of optimal design ideas are increasingly applied in many disciplines. However, the theory for constructing optimal designs can be esoteric and its implementation can be difficult. To help practitioners have easier access to optimal designs and better appreciate design issues, we present a web site at http://optimal-design.biostat.ucla.edu/optimal/ capable of generating different types of tailor-made optimal designs for popular models in the biological sciences. This site also evaluates various efficiencies of a user-specified design and so enables practitioners to appreciate robustness properties of the design before implementation.

show abstract