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Department of Mathematical Sciences

Staff

Dr Allan Seheult, BSc, PhD

Research Associate in the Department of Mathematical Sciences

Contact Dr Allan Seheult (email at a.h.seheult@durham.ac.uk)

Research Groups

  • Statistics
  • Statistics and Probability Group

Research Interests

  • Statistics

Publications

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