Designed Experiments: Recent Advances in Methods and Applications (DEMA2008)

11 August to 15 August 2008

Isaac Newton Institute for Mathematical Sciences, Cambridge, UK

Organisers: Professor R Bailey (Queen Mary, London), Dr B Bogacka (Queen Mary, London), Dr H Grossmann (Queen Mary, London) and Dr D Woods (Southampton)

in association with the Newton Institute programme Design of Experiments (21 July to 15 August 2008)

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Accepted Posters:

Name Title Abstract Poster Session
Agboto, V Screening designs for model discrimination Abstract Poster 2
Bejan, A Inference and experimental design for some random graph models Abstract Poster 1
Correa da Silva, J A conceptual basis and a new approach to the planning of experiments Abstract Poster 1
Das, A On the lower bounds and construction of E(s2)-optimal supersaturated designs Abstract 1
Guest, T Iteratively-constructive design of geophysical surveys with nonlinear model-data relationships Abstract 2
Kueck, H Finding optimal experimental designs for bayesian model comparison Abstract 1
Malyutov, M Capacity of screening experiments under linear programming analysis Abstract Poster 2
Marley, C Comparison of analysis methods for supersaturated designs through a simulation study Abstract 2
Maus, B Optimisation of blocked designs in fMRI studies Abstract Poster 1
Mee, R Supersaturated designs: are our results significant? Abstract 2
Moerbeek, M A comparison of cost-efficiencies of three designs for group randomised trials Abstract 1
Mukhopadhyay, S Min-max robust parameter design Abstract 2
Overstall, A Coverage and precision of interval estimates from designed experiments analysed with generalised linear models Abstract Poster 2
Pagendam, D Optimal designs for a simple epidemic in a closed population Abstract 1
Parker, B Designs of experiments for Markov chains Abstract Poster 1
Rothe, S Optimal designs for an interference model Abstract 2
Seabrook, J Advanced DoE applications in the automotive industry Abstract Poster 1
Seker, H Dealing with uncertainty in the assessment of diagnostic and prognostic factors in cancer Abstract 2
Stehlik, M On Sacks-Ylvisaker regularity conditions for correlated processes Abstract 2
Thompson, H Optimum designs for efficiency models Abstract Poster 1
Thornewell, H Measuring the vulnerability of incomplete block designs to observation loss Abstract Poster 1
Uddin, N Optimal block designs for three treatments whenobservations are correlated Abstract Poster 1
Winterfors, E Optimal experimental design for nonlinear models with non-gaussian uncertainties Abstract Poster 2

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