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

Expertise:
Mathematics, Statistics, Operational Research

Biography:
Having graduated in mathematics from Loughborough and Liverpool Universities, I joined the University of Salford in 1991 as a Lecturer in Statistics and progressed to Senior Lecturer and Reader before gaining promotion in 2008 to my current role as Professor of Mathematics in Salford Business School. I am Research Convenor for International Operations & Information Management, Associate Director of the Centre for Sports Business, Member of the College Research Ethics Panel, a Chartered Mathematician and a Chartered Scientist. I am a Council Member for the Institute of Mathematics and its Applications, and hold other honorary roles as Finance Committee Member, Conferences Committee Member and North West Branch Chairman. Previously, I served as General Applications Section Chairman and Manchester Group Committee Member for the Royal Statistical Society. I am also an External Examiner at Keele University and a Member of the Mathematical Methods in Reliability Research Group with colleagues from Durham, Strathclyde and Brunel Universities. I have delivered modules and supervised projects for many students at all levels. I have also served as Programme Leader (MSc Operational Research & Applied Statistics), Industrial Placements Tutor (BSc Business Operation & Control) and Admissions Tutor (BSc Mathematics). I have received grants for collaborative research, organised research meetings, hosted research visits, published journal papers, graduated research students, presented academic seminars and chaired two IMA International Conferences on Mathematics in Sport. My research mostly involves applications of multivariate analysis, stochastic processes and Bayesian probability to solve problems in reliability, sport and health. Novel contributions include Doppler ultrasound diagnostic models for arterial occlusive disease, prior elicitation and predictive inference for multivariate generalized linear models, hybrid intensities models for repairable systems, efficient scheduling of preventive maintenance, interactive shrinkage methods for class handicapping and original design of an optimal dartboard. I have presented my research at international conferences and worked on contracts that include sonar analysis with the Defence Evaluation and Research Agency, research support for the National Health Service, disease mapping of dengue fever and reliability analysis of vehicle inspection centres for the Malaysian government, randomness testing for the National Lottery Commission and performance analysis of trauma units with colleagues at Manchester University and Salford Royal Hospital.

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 systems577
2An analysis of the experiences of radiography and radiotherapy students who are carers at one UK university488
3The optimal dartboard?466
4A mathematical analysis of badminton scoring systems456
5Generic handicapping for paralympic sports443
6Evaluating relative performances in disabled sports competitions407
7Vector borne infectious disease mapping with stochastic difference equations: An analysis of dengue disease in Malaysia386
8Conflict analysis using Bayesian neural networks and generalized linear models371
9Empirical forecasting practices of a British university371
10On the development of decision rules for bar quiz handicapping360