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Professor David F. Percy
Professor of Mathematics
Business School
Salford Business School

Expertise:
Mathematics, Probability, Statistics

Biography:
I am a Professor of Mathematics in Salford Business School at the University of Salford, where I am also Associate Director of the Centre for Sports Business, Member of the College Research and Innovation Committee, Member of the College Research Ethics Panel and Research Convenor for the International Operations and Information Management Academic Unit. My research is mostly in probability and statistics (especially Bayesian analysis and stochastic processes) with application to sport, reliability and health. I am a Member of the MathSport International Committee and a Member of the Mathematical Methods in Reliability Joint Research Group. I have delivered modules and supervised projects for many undergraduate and postgraduate students, and served as External Examiner, Programme Leader, Industrial Placements Tutor and Admissions Tutor. I hold honorary roles for the Institute of Mathematics and its Applications as Council Member, Finance Committee Member, Conferences Committee Member and North West Branch Chairman. I have worked on major research projects for the Engineering and Physical Sciences Research Council, the National Lottery Commission, the International Paralympic Committee, the National Health Service, the Malaysian Government and the Defence Evaluation and Research Agency.

Qualifications:
BSc (Hons), DIS, PhD, CMath, FIMA, CSci

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Latest Additions

  1. Generic handicapping for paralympic sports
  2. Generic handicapping for paralympic sports
  3. Vector borne infectious disease mapping with stochastic difference equations: An analysis of dengue disease in Malaysia
  4. Modelling uncertainty in preventive maintenance scheduling
  5. The optimal dartboard?
  6. Muscle fatigue in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) and its response to a manual therapeutic approach: A pilot study
  7. Assessing student teams developing mathematical models applied to business and industrial mathematics
  8. Menstrual variation of breast volume and T2 relaxation times in cyclical mastalgia
  9. On the development of decision rules for bar quiz handicapping
  10. A mathematical analysis of badminton scoring systems
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Most Viewed Items

Item titleViews
1Hybrid intensity models for repairable systems653
2An analysis of the experiences of radiography and radiotherapy students who are carers at one UK university587
3The optimal dartboard?579
4Generic handicapping for paralympic sports554
5A mathematical analysis of badminton scoring systems554
6Evaluating relative performances in disabled sports competitions503
7Vector borne infectious disease mapping with stochastic difference equations: An analysis of dengue disease in Malaysia481
8Empirical forecasting practices of a British university443
9Conflict analysis using Bayesian neural networks and generalized linear models433
10On the development of decision rules for bar quiz handicapping425