Outputs (12)

Prior viability assessment for Bayesian analysis (2008)
Journal Article
Goldstein, M., & Seheult, A. H. (2008). Prior viability assessment for Bayesian analysis. Journal of Statistical Planning and Inference, 138(5), 1271-1286. https://doi.org/10.1016/j.jspi.2007.04.023

We address the problem of determining whether the cost of a proposed Bayesian analysis is likely to be justified by the potential benefit. A method is described for identifying the likely order of magnitude benefits from the analysis, and this approa... Read More about Prior viability assessment for Bayesian analysis.

Correlation models for monitoring child growth (2008)
Journal Article
Argyle, J., Seheult, A. H., & Wooff, D. A. (2008). Correlation models for monitoring child growth. Statistics in Medicine, 27(6), 888-904. https://doi.org/10.1002/sim.2973

Growth measurements of children, such as weight and height, are monitored regularly, particularly in infancy, to assess whether or not a child's growth is normal when compared with a reference population of the same age and sex. Here, after a suitabl... Read More about Correlation models for monitoring child growth.

Exact variance structure of sample L-moments (2004)
Journal Article
Elamir, E. A., & Seheult, A. H. (2004). Exact variance structure of sample L-moments. Journal of Statistical Planning and Inference, 124(2), 337-359. https://doi.org/10.1016/s0378-3758%2803%2900213-1

Population L-moments have been proposed as alternatives to central moments for describing distribution location, dispersion and shape, and their sample estimates are unbiased. However, only asymptotic variances and covariances of their estimates have... Read More about Exact variance structure of sample L-moments.

Trimmed L-moments (2003)
Journal Article
Elamir, E. A., & Seheult, A. H. (2003). Trimmed L-moments. Computational Statistics & Data Analysis, 43(3), 299-314. https://doi.org/10.1016/s0167-9473%2802%2900250-5

Classical estimation methods (least squares, the method of moments and maximum likelihood) work well in regular cases such as the exponential family, but outliers can have undue influence on these methods. We define population trimmed L-moments (TL-m... Read More about Trimmed L-moments.

Towards robust analysis of variance (2001)
Book Chapter
Seheult, A., & Tukey, J. (2001). Towards robust analysis of variance. In A. Saleh (Ed.), Data analysis from statistical foundations : a festschrift in honour of the 75th birthday of D.A.S. Fraser (217-244). Nova Science Publishers

A distinctive feature of analysis of variance is the common occurrence of more than one error term. This feature calls attention to the two distinct potential roles of a single mean square. As a “numerator” it measures the variability visible at a gi... Read More about Towards robust analysis of variance.

Discriminant Analysis (2001)
Book Chapter
Seheult, A. (2002). Discriminant Analysis. In A. El-Shaarawi, & W. Piegorsch (Eds.), Encyclopedia of environmetrics (523-530). John Wiley and Sons

Bayesian forecasting for complex systems using computer simulators (2001)
Journal Article
Craig, P., Goldstein, M., Rougier, J., & Seheult, A. (2001). Bayesian forecasting for complex systems using computer simulators. Journal of the American Statistical Association, 96(454), 717-729. https://doi.org/10.1198/016214501753168370

Although computer models are often used for forecasting future outcomes of complex systems, the uncertainties in such forecasts are not usually treated formally. We describe a general Bayesian approach for using a computer model or simulator of a com... Read More about Bayesian forecasting for complex systems using computer simulators.

Constructing partial prior specifications for models of complex physical systems. (1998)
Journal Article
Craig, P., Goldstein, M., Seheult, A., & Smith, J. (1998). Constructing partial prior specifications for models of complex physical systems. Journal of the Royal Statistical Society. Series D, The statistician, 47(1), 37-53. https://doi.org/10.1111/1467-9884.00115

Many large scale problems, particularly in the physical sciences, are solved using complex, high dimensional models whose outputs, for a given set of inputs, are expensive and time consuming to evaluate. The complexity of such problems forces us to f... Read More about Constructing partial prior specifications for models of complex physical systems..

Pressure matching for hydrocarbon reservoirs: a case in the use of Bayes linear strategies for large computer experiments (and discussion) (1997)
Book Chapter
Craig, P., Goldstein, M., Seheult, A., & Smith, J. (1997). Pressure matching for hydrocarbon reservoirs: a case in the use of Bayes linear strategies for large computer experiments (and discussion). In G. E. al (Ed.), Case studies in Bayesian Statistics (37-93). Springer Verlag

Bayes linear strategies for matching hydrocarbon reservoir history and discussion. (1996)
Book Chapter
Goldstein, M., Craig, P., Seheult, A., & Smith, J. (1996). Bayes linear strategies for matching hydrocarbon reservoir history and discussion. In J. Bernardo, J. Berger, A. Dawid, & A. Smith (Eds.), Bayesian Statistics 4. Proceedings of the Fourth Valencia International Meeting: Dedicated to the memory of Morris H. DeGroot, 1931-1989: April 15-20, 1991 (69-95). Oxford University Press