Dr Emily Raeburn

Senior Lecturer

School of Digital, Technologies and Arts

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


  • 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)
UK University

StudentCrowd University Awards 2022

for Job Prospects

StudentCrowd University Awards 2022

for Student Satisfaction

Complete University Guide 2022

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

for Course Content

StudentCrowd University Awards 2022

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021