Dr Emily Raeburn

Senior Lecturer

Digital, Tech, Innovation & Business

I was awarded a PhD in Statistics from Aberystwyth University in 1993 and spent a few years working in research, modelling share prices and stock market crashes. I took up a lectureship within the Mathematics and Statistics group at Staffordshire University in 1997 and during that time I have taught mathematics and statistics to students across many disciplines – Engineering, Computing, Health, Psychology, Business. I have taught a range of modules such as: Introductory Statistics, Probability, Statistical Inference, Survey Design, Statistical Modelling.

As a current member of staff within the Engineering department, my teaching is now mainly Engineering Mathematics and I am the Course Leader for BEng/MEng Mechanical Engineering.

Academic qualifications

  • PhD, ‘Forecast Error Variances for Self-Exciting Threshold Autoregressive Models’, University of Wales Aberystwyth.
  • BSc (Hons) Statistics, University of Wales Aberystwyth

Enterprise and commercial interests

I have worked on a variety of consultancies including:

  • Credit Scoring for a mobile telephone company
  • Homelessness for young people in London
  • Forecasting electricity demand
  • Breech Births
  • Hip fracture risk analysis
  • Retail Optimisation

Publications

  • Fletcher, M, Mangan, J, & Raeburn, E-J. Comparing Hedonic Models for Estimating and Forecasting House Prices: Property Management (2004) 22, 189-200
  • Comparing forecasting models (with M Fletcher) International Conference on Applied Statistics, Hawaii (June 2002)
  • Peel, D A, Lane, J A, & Raeburn, E-J. Some Empirical Evidence of the Time Series Properties of Four UK Asset Prices: Economica (1996) 63, 405-26
  • Jones, D A, & Raeburn, E-J. The Forecast Error Variance Function for Threshold Autoregressive Processes: Aberystwyth Economic Research Paper No. 15, UWA (1995)
in the UK for Quality Education

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Research Excellence Framework 2021

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Research Excellence Framework 2021

Four Star Rating

QS Star Ratings 2021