Experimental Design

Design of experiments (DoE) is one of the most useful statistical tools in product design and testing. DoE provides an efficient and cost-effective method for understanding and optimising products and processes. DoE has been successfully adopted by many industries, including chemical, automotive, and production of medical devices. Designed experiments can be as useful in management and the service sector as they are in manufacturing industries. Different designs are used for different purposes.

We have particular expertise in:

• factorial and fractional factorial design.

• response surface methodology (RSM).

• design of computer experiments

SOME OF OUR PUBLICATIONS

• Chambers, J.D., Bethwaite, B., Diamond, N.T., Peachey, T.C., Ambramson, D., Petrou, S. and Thomas, E.A. 2012 Parametric computation predicts a multiplicative interaction between synaptic strength parameters controls properties of gamma oscillations, Frontiers in Computational Neuroscience, Volume 6, Article 53 doi:103389/fncom.2012.00053

• Diamond, N.T. 1995. Some properties of a foldover design, Austral. J. Statist, 37, 345-352.

• Peachey, T. C., Diamond, N. T., Abramson, D. A., Sudholt, W., Michailova, A. and Amirriazi, S. 2008. Fractional factorial design for parameter sweep experiments using Nimrod/E, Sci. Program. 16(2-3), 217-230.

• Sahama, T. and Diamond, N.T. 2001. Sample size considerations and augmentation of computer experiments, The Journal of Statistical Computation and Simulation, 68, 307-319.

• Sztendur, E.M. and Diamond, N.T. 2002. Extension to confidence region calculations for the path of steepest ascent, Journal of Quality Technology, 34, 288-295.

• Van Matre, J. and Diamond, N.T. 1996. Team work and design of experiments, Quality Engineering, 9, 343-348.

SOME RECOMMENDED RESOURCES

• Lawson, J. 2015. Design and Analysis of Experiments with R. CRC Press, Boca Raton.

• Dean, A., Morris, M., Stufken, J., and Bingham, D. (eds.) 2015. Handbook of Design and Analysis of Experiments. Chapman & Hall/CRC Press, Boca Raton.

• Moen, R.D., Nolan, T.W., Provost, L.P. (2012). Quality Improvement Through Planned Experimentation, 3rd Ed. MCGraw Hill, New York.

• Box, G.E.P., Hunter, J.S., Hunter, W.G. 2005. Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Ed. Wiley, Hobeken, NJ.

• Box, G.E.P. and Draper, N.R. 2007. Response Surfaces, Mixtures, and Ridge Analysis, 2nd Ed. Wiley, Hobeken, NJ.