Dr Eleanor Stillman

School of Mathematical and Physical Sciences

Senior Lecturer in Probability & Statistics

e.c.stillman@sheffield.ac.uk
+44 114 222 3811
The times at which I am usually in SOMAS vary by semester to accommodate my teaching timetable.

Full contact details

Dr Eleanor Stillman
School of Mathematical and Physical Sciences
Hicks Building
Hounsfield Road
Sheffield
S3 7RH
Profile

Dr Stillman took BSc and PhD degrees at Sheffield before taking up her lectureship in 1987. Her main research interests lie in the practical application of statistics to geology and materials science. A long term concern has been the modelling of particle size, with investigations into its relationship with sediment transport processes and strength of composite materials. Other recent projects include the use of classification methods in pollen analysis, the design of resistant glazes and the modelling, monitoring and control of manufacturing processes. She is also interested in statistical education and has published computer-assisted-learning materials and on the school-university transition as well as serving on the University's Maths and Stats Help (MASH) steering committee. She is involved in both the local and national activities of the Royal Statistical Society and is a Chartered Statistician. She is also an active Associate Consultant to our Statistical Services Unit, mainly in the areas of training and ethical review.

Research interests

My main research interests lie in the practical application of statistics to geology and materials science. A long term concern has been the modelling of particle size, with investigations into its relationship with sediment transport processes and strength of composite materials. Other recent projects include the use of classification methods in pollen analysis, the design of resistant glazes and the production of computer-assisted-learning materials.

Publications

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Journal articles

Chapters

Conference proceedings papers

  • Martin RJ, Bursnall MC & Stillman EC (2001) Further results on optimal and efficient designs for constrained mixture experiments. OPTIMUM DESIGN 2000, Vol. 51 (pp 225-239) RIS download Bibtex download
Research group

Statistics

Grants

Past grants, as Coinvestigator

Simulation Tools for Automated and Robust Manufacturing EPSRC
Quantitative characterisation of particle clustering and banding in MMCS and the effect on mechanical prope EPSRC