We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Department of Mathematical Sciences


Dr Allan Seheult, BSc, PhD

Research Consultant in the Department of Mathematical Sciences

Contact Dr Allan Seheult (email at

Research Groups

  • Statistics
  • Statistics and Probability Group

Research Interests

  • Statistics


Journal papers: academic

  • Elamir, Elsayed A. H. & Seheult, Allan H. (2004). Exact variance structure of sample L-moments. Journal of Statistical Planning and Inference 124(2): 337-359.
  • Elamir, Elsayed A. H. & Seheult, Allan H. (2003). Trimmed L-moments. Computational Statistics & Data Analysis 43(3): 299-314.
  • Craig, P. S., Goldstein, M., Rougier, J. C. & Seheult, A. H. (2001). Bayesian forecasting for complex systems using computer simulators. Journal of the American Statistical Association 96(454): 717-729.
  • Elamir, Elsayed A. H. & Seheult, Allan H. (2001). Control charts based on linear combinations of order statistics. Journal of Applied Statistics 28(3&4): 457-468.
  • Worrall, F., Wooff, D. A., Seheult, A. H. & Coolen, F. P. A. (2000). New approaches to assessing the risk of groundwater contamination by pesticides. Journal of the Geological Society 157: 877-884.
  • Wooff, D.A., Seheult, A.H., Coolen, F.P.A. & Worrall, F. (1999). Bayesian discrimination with uncertain covariates for pesticides contamination.
  • Worrall, F., Wooff, D. A., Seheult, A. H. & Coolen, F. P. A. (1998). A Bayesian approach to the analysis of environmental fate and behaviour data for pesticide registration. Pesticide Science 54: 99-112.
  • Craig, P.S., Goldstein, M., Seheult, A.H. & Smith, J.A. (1998). Constructing partial prior specifications for models of complex physical systems.
  • Seheult, A. (1997). Bonus decompositions for robust analysis of 2^n factorial experiments. The Practice of Data Analysis: Essays in Honor of John W. Tukey, eds D. R. Brillinger, L. T. Fernholz and S. Morgenthaler, Princeton University 299-316.
  • Goldstein, M, Craig, P.S., Seheult, A.H. & Smith, J.A. (1996). Bayes Linear Strategies for Matching Hydrocarbon Reservoir History and discussion.
  • Seheult, A.H. & Craig, P.S. (1996). Pseudo-likelihood Estimation for a Class of Spatial Markov Chains.

Books: sections

  • Craig, P.S., Goldstein, M., Seheult, A.H. & Smith, J.A. (1997). Pressure matching for hydrocarbon reservoirs: a case in the use of Bayes linear strategies for large computer experiments (and discussion). In Case studies in Bayesian Statistics. Gatsonis et al New York: Springer-Verlag. III: 37-93.

Edited works: contributions

  • Seheult, A. H. (2001). Discriminant Analysis. In Encyclopedia of Environmetrics. El-Shaarawi, A. & Piegorsch, W. W. Chichester: John Wiley. 1: 523-530.
  • Seheult, A. H. & Tukey, J. W. (2001). Towards robust analysis of variance. In Data Analysis from Statistical Foundations: A Festschrift in Honor of the 75th Birthday of D.A.S. Fraser. Saleh, A.K.Md.E. New York: Nova Science. 217-244.

Edited works: conference proceedings

  • Craig, P.S., Smith, J.A., Goldstein, M. & Seheult, A.H. (1995). Matching hydrocarbon reservoir history - a Bayes linear approach. Third International Applied Statistics in Industry Conference.

Journal papers: online