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Design and Analysis of Experiments

Participation in INI programmes is by invitation only. Anyone wishing to apply to participate in the associated workshop(s) should use the relevant workshop application form.

18th July 2011 to 21st December 2011

Organisers: Rosemary Bailey (Queen Mary), Barbara Bogacka (Queen Mary), Stefanie Biedermann (Southampton), Holgar Dette (Bochum), Peter Goos (Antwerp ), Andrew Lynch (CRUK Cambridge ) and Hugo Maruri-Aguilar (Queen Mary)

Scientific Advisory Committee: Angela Dean (Southampton), David Steinberg (Tel Aviv), John Stufken (Georgia), Weng-Kee Wong (UCLA) and Henry Wynn (London School of Economics and Political Science)

Programme Theme

Design of experiments was born as a result of an unlikely, but true anecdote: a lady claimed before R.A. Fisher that she was able to ascertain whether milk was poured before or after tea in her cuppa. Fisher devised a study to verify her claim and, in turn, this gave birth to Experimental Design. Agricultural experiments formed the core around which the theory evolved in its origins in the 1930s. The theory of Design of Experiments has since blossomed into many different approaches, ranging from optimal designs for dynamical models in pharmacokynetic studies, and designs for industrial experimentation, to designs of simulation experiments in climate change, to name but a few. The mathematical techniques currently used in different branches of Design are vast, for example Galois theory, non linear optimization, algebraic geometry and association schemes.

In this six-month programme we aim to bring together some of the world experts in Design of Experiments. An important objective of the programme is to bring people from different areas of design to talk to each other, and hopefully, work together. Another is to interact with other statisticians and researchers from other disciplines, to ensure that the topic remains relevant to novel areas of experimentation, and to communicate its importance.

Four workshops have been proposed for the programme, based around the following topics:

1 Accelerating industrial productivity via deterministic computer experiments and stochastic simulation experiments

2 Optimal designs for mixed effects models

3 Design of experiments in healthcare

4 Experiments for processes with time or space dynamics

In addition to the workshops, the DEMA (Designed experiments: recent advances in methods and applications) conference will also be held as part of the programme.

Final Scientific Report: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons