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Biedermann, S., Detter, H. Woods, D.C. "Optimal design for additive partially nonlinear models." Biometrika 98.2 (2011): 449-458. Print.


The authors developed an optimal design for additive partially nonlinear regression models, showing Bayesian and standardized D-optimal designs can be used in one dimension. This helps solve the problem often encountered with dimensionality.First, the article lays a mathematical foundation for the statistical theory. Then using previous statistical theory, the authors build up to their results; namely, the optimal design for the partially nonlinear regression models. Finally, as a proof of the validity of the design, the authors give practical examples.This paper was co-authored by the professor I will be working with in Southampton. Though this paper does help me understand a little more about research design, mainly I was interested in this paper so I can understand Dr. Woods’ background and areas of research.