doe@soton

2010

• Optimal simultaneous confidence bands in simple linear regression Liu, W. and Ah-kine, P. (2010), Journal of Statistical Planning and Inference , 139, 329-334
• A comparison of design and model selection methods for supersaturated designs Marley, C.J. and Woods, D.C. (2010), Computational Statistics and Data Analysis, in press.
• Orthogonally blocked mixture experiments in ellipsoidal restricted regions Prescott, P. (2010), Communications in Statistics, Theory and Methods. 2010. in press
• Experimental Design Prescott, P. (2010), in The Encyclopaedic Companion to Medical Statistics (2nd Ed), Eds. B.S. Everitt and C.R. Palmer, Hodder Arnold, 129-131
• Robust designs for binary data: applications of simulated annealing Woods, D.C. (2010), Journal of Statistical Computation and Simulation, 80, 29-41.
• Continuous optimal designs for generalized linear models under model uncertainty Woods, D.C. and Lewis, S.M. (2010), Journal of Statistical Theory and Practice, in press.

2009

• A Ray Method of Confidence Band Construction for Multiple Linear Regression Models Hayter, A.J., Liu, W. and Ah-Kine, P. (2009), Journal of Statistical Planning and Inference , 139, 329-334
• Construction of Exact Simultaneous Confidence Bands in Multiple Linear Regression with Predictor Variables Constrained in an Ellipsoidal Region Liu, W. and Lin, S. (2009), Statistica Sinica , 19, 213-232
• Assessing non-superiority, non-inferiority or equivalence when comparing two regression models over a restricted covariate region Liu, W., Bretz, F., Hayter, A.J. and Wynn, H.P. (2009), Biometrics, 65, 1279-1287
• Comparison of Hyperbolic and Constant Width Simultaneous Confidence Bands in Multiple Linear Regression under MVCS Criterion Liu, W., Hayter, A.J., Piegorsch, W.W. and Ah-Kine, P. (2009), Journal of Multivariate Analysis , 100, 1432-1439
• Orthogonal column Latin hypercube designs with small samples Prescott, P. (2009), Computational Statistics and Data Analysis, 53. 1191-1200
• Modeling in restricted mixture experiment spaces Prescott, P. and Draper, N.R. (2009), Journal of Quality Technology and Quantitative Management, 6, 207-217
• Balanced, nearly optimal mixture experiments for models with interactions with process variables Prescott, P. and Draper, N.R. (2009), Journal of Quality Technology and Quantitative Management, 6, 67-86
• Design considerations for small experiments and simple logistic regression Russell, K.G., Eccleston, J.A., Lewis, S.M. and Woods, D.C. (2009), Journal of Statistical Computation and Simulation, 79, 81-91.
• D-optimal designs for Poisson regression models Russell, K.G., Woods, D.C., Lewis, S.M. and Eccleston, J.A. (2009), Statistica Sinica, 19, 721-730.

2008

• Critical Point Computations for One-sided and Two-sided Pairwise Comparisons of Three Treatment Means Hayter, A.J., Kim, J. and Liu, W. (2008), Computational Statistics and Data Analysis, 53, 463-470.
• Construction of exact simultaneous confidence bands for a simple linear regression model Liu, W., Lin, S. and Piegorsch, W.W. (2008), nternational Statistical Review, 76, 39-57
• Statistical inferences for linear regression models when the covariates have functional relationships: polynomial regression Liu, W., Wynn, H.P. and Hayter, A.J. (2008), Journal of Statistical Computation and Simulation, 78, 315-324
• Uniformly Balanced Repeated Measurements Designs in the Presence of Subject Dropout Majumdar, D., Dean, A.M. and Lewis, S.M. (2008), Statistica Sinica,18, 235-253.
• Nearly uniform designs for mixture experiments Prescott , P (2008), Communications in Statistics – Theory and Methods, 37, 2095 – 2115
• D-optimal mixtures component-amount designs for quadratic and cubic models Prescott, P. and Draper, N.R. (2008), Journal of Applied Statistics, 35, 739-749
• On the equivalence of three estimators for dispersion effects in unreplicated two-level factorial designs van de Ven, P.M. (2008), Journal of Statistical Planning and Inference, 138, 18-29.
• A critical assessment of two-stage group screening through industrial experimentation Vine, A.E., Lewis, S.M., Dean, A.M. and Brunson, D. (2008), Technometrics, 50, 15-25.
• Design selection criteria for discrimination/estimation for nested models and a binomial response Waterhouse, T.H., Woods, D.C., Eccleston, J.A. and Lewis, S.M. (2008), Journal of Statistical Planning and Inference, 138, 132-144.
• Robust designs for binary data: applications of simulated annealing Woods, D.C. (2008), Journal of Statistical Computation and Simulation, in press.

2007

• Constrained optimal discriminating designs for fourier regression models Biedermann, S., Dette, H. and Hoffmann, P. (2007), Annals of Statistical Mathematics, in press
• Optimal Discrimination Designs for Exponential Regression Models Biedermann, S., Dette, H. and Pepelyshev, A. (2007), Journal of Statistical Planning and Inference, 137, 2579-2592
• Compound optimal designs for percentile estimation in dose-response models with restricted design intervals Biedermann, S., Dette, H. and Zhu, W. (2007), Journal of Statistical Planning and Inference, 137, 3838-3847
• Kernel ellipsoidal trimming Dolia, A.N., Harris, C.J., Shawe-Taylor, J.S. and Titterington, D.M. (2007), Computational Statistics and Data Analysis, 52, 309-324.
• Incomplete block designs Prescott, P. (2007), Encyclopedia of Statistics in Quality and Reliability, Wiley.
• Modeling in restricted mixture experiment spaces Prescott, P. and Draper, N.R. (2007), Journal of Quality Technology and Quality Management, to appear

2006

• Some robust design strategies for percentile estimation in binary response models Biedermann, S., Dette, H. and Pepelyshev, A. (2006), Canadian Journal of Statistics, 34, 603-622
• Optimal designs for dose-response models with restricted design spaces Biedermann, S., Dette, H. and Zhu, W. (2006), Journal of the American Statistical Association, 101, 747-759
• Design of experiment algorithms for assembled products Sexton, C.J., Anthony, D.K., Lewis, S.M., Please, C.P. and Keane, A.J. (2006), Journal of Quality Technology, 38, 298-308
• All-bias designs for polynomial spline regression models Woods, D.C. and Lewis, S.M. (2006), Australian and New Zealand Journal of Statistics, 48, 49-58
• An eLearning website for the design and analysis of experiments with application to chemical processes Woods, D.C., Grove, D.M., Liccardi, I., Lewis, S.M. and Frey, J.G. (2006), Proceedings of Compstat 2006, 1641-1649.
• Designs for generalized linear models with several variables and model uncertainty Woods, D.C., Lewis, S.M., Eccleston, J.A., and Russell, K.G. (2006), Technometrics, 48, 284-292

2005

• Numerical Construction of Parameter Maximin D-optimal Designs for Binary Response Models Biedermann, S. and Dette, H. (2005), South African Statistical Journal, 39, 127-161
• Tests in a case control design including relatives Biedermann, S., Nagel, E., Munk, A., Holzmann, H. and Steland, A. (2005), Scandinavian Journal of Statistics
• SimReg: a software including some new developments in multiple comparison and simultaneous confidence bands for linear regression models. Jamshidian, M., Liu, W., Zhang, Y. and Bretz, F. (2005), Journal of Statistical Software, 12.
• Constant width simultaneous confidence bands for multiple linear regression when predictor variables are constrainted in intervals. Liu, W., Jamshidian, M., Zhang, Y. and Bretz, F. (2005), Journal of Statistical Computation and Simulation, 75, 425-436
• Simulation-based simultaneous confidence bands in multiple linear regression with predictor variables constrained in intervals. Liu, W., Jamshidian, M., Zhang, Y. and Donnelly, J. (2005), Journal of Computational and Graphical Statistics, in press
• Fractional factorial designs for two-step production processes van Berkum, E.E.M., Habers, E.J., van de Ven, P.M. and Wijnen, J.T.M. (2005), Journal of Statistical Planning and Inference, 132, 53-62
• Two stage group screening in the presence of noise factors and unequal probabilities of active effects Vine, A.E., Lewis, S.M. and Dean, A.M. (2005), Statistica Sinica, 15, 871-888
• Designing experiments under random contamination with application to polynomial spline regression Woods, D.C. (2005), Statistica Sinica, 15, 619-635

2004

• A web-based knowledge elicitation system (GISEL) for planning and assessing experiments during product development Dupplaw, D., Brunson, D., Vine, A.E., Please, C.P., Lewis, S.M., Dean, A.M., Keane, A.J. and Tindall, M.J. (2004), Journal of Computing and Information Science, 4, 218-225
• Multifactor B-spline mixed models in designed experiments for the engine mapping problem Grove, D.G., Woods, D.C. and Lewis, S.M. (2004), Journal of Quality Technology, 36, 380-391
• Some simple corrected confidence intervals following a sequential test. Liu, W. (2004), Journal of Statistical Planning and Inference, 126, 189-205
• Multiple comparison of several regression models. Liu, W., Jamshidian, M. and Zhang, Y. (2004), Journal of the American Statistical Association, 99, 395-403
• Robustness of a class of partial diallel cross designs to the unavailability of a complete block of observations Mansson, R.A and Prescott, P. (2004), Journal of Applied Statistics, 31, 145-160
• Robustness of diallel cross designs to the loss of one or more observations. Prescott ,P. and Mansson, R.A. (2004), Computational Statistics and Data Analysis, 47, 91-109
• A class of designs for mixture experiments based on augmented pairs. Prescott, P. (2004), Communications in Statistics. Theory and Methods, 33, 2759-2785, 2004
• Modelling in mixture experiments including interactions with process variables. Prescott, P. (2004), Journal of Quality Technology and Quantitative Management, 1, 87-103
• Mixture component-amount designs via projections, including orthogonally blocked designs. Prescott, P. and Draper, N.R. (2004), Journal of Quality Technology, 36, 413-431
• Fractional factorial designs for the detection of interactions between design and noise factors Russell, K.G., Lewis, S.M. and Dean, A.M. (2004), Journal of Applied Statistics, 31, 545-552

2003

• A note on maximin and Bayesian D-optimal designs in weighted polynomial regression Biedermann, S. and Dette, H. (2003), Mathematical Methods of Statistics, 12, 258-370
• Robust and efficient designs for the Michaelis-Menten model Dette, H. and Biedermann, S. (2003), Journal of the American Statistical Association, 98, 679-686
• A confidence interval that is consistent with and more informative than an equivalent test for a normal mean. Liu, W. (2003), Sequential Analysis, 22, 151-157.
• Some sequential evidence tests that control both the size and power. Liu, W. (2003), South African Statistical Journal, 37, 105-125
• A sequential procedure that controls both size and power in a multiple comparison problem. Liu, W. (2003), Applied Sequential Methodologies, ed. Mukhopadhyay, N., Datta, S. and Chattopadhyay, S., 249-259. Marcel Dekker, Inc., New York.
• A directional decision procedure for successive comparison of treatment effects. Liu, W. and Kwong, K.S. (2003), J Statistical Planning and Inference, 116, 49-59
• Stepwise multiple tests for successive comparisons. Liu, W. and Somerville, P. (2003), Computational Statistics and Data Analysis, 46, 189-199
• Designing experiments for multi-variable B-spline models Woods, D.C., Lewis, S.M. and Deywnne, J.N. (2003), Sankhya, 65, 660-677

2002

• Comparison of group screening strategies for factorial experiments Dean, A.M. and Lewis, S.M. (2002), Computational Statistics and Data Analysis, 39, 287-297
• A functional-algebraic determination of D-optimal designs for trigonometric regression models on a partial circle Dette, H., Melas, V. and Biedermann, S. (2002), Statistics & Probability Letters, 58, 389-397
• Sample size determination for constructing a confidence interval for the success probability with desired width and confidence level. Liu, W. and Bailey, B.J.R. (2002), Statistics and Probability Letters, 56, 1-5.
• An application of Polya Theory to crossover designs with dropout Low, J.L., Lewis, S.M. and Prescott, P. (2002), Utilitas Mathematica, 63, 129-142.
• Missing observations in Youden square designs. Mansson, R.A and Prescott, P. (2002), Computational Statistics and Data Analysis, 40, 329-338
• The effects of missing data on Latin squares. Mansson, R.A and Prescott, P. (2002), Utilitas Mathematica, 62, 237-253
• Efficiency of pair-wise treatment comparisons in incomplete block experiments to the loss of observations. Prescott , P. and Mansson, R.A. (2002), Communications in Statistics. Theory and Methods, 31, 449-462
• Mixture experiments: ill-conditioning and quadratic model specification Prescott, P., Dean, A.M., Draper, N.R. and Lewis, S.M. (2002), Technometrics, 44, 260-268

2001

• Optimal designs for testing the functional form of a regression via nonparametric estimation techniques Biedermann, S. and Dette, H. (2001), Statistics & Probability Letters, 52, 215-224
• Selecting closest to a control. Bofonger, E. and Liu, W. (2001), Australia and New Zealand Journal of Statistics, 43, 421-430
• Efficient directional inference methodologies for the comparisons of three ordered treatment effects. Hayter, AJ., Miwa, T. and Liu, W. (2001), Journal of Japan Statistical Society, 31, 153-174
• Detection of interactions in experiments with large numbers of factors (with discussion) Lewis, S.M. and Dean, A.M. (2001), Journal of the Royal Statistical Society Series B, 63, 633-672
• Select and sharpen your inferences in simultaneous inferences via a Bayesian approach. Liu, W. and Hayter, A.J. (2001), Communication in Statistics Theory and Methods, 30, 135-146
• Missing values in replicated Latin squares. Mansson, R.A and Prescott, P. (2001), Journal of Applied Statistics, 28, 743-757
• Robustness of balanced incomplete block designs to randomly missing observations. Prescott , P. and Mansson, R.A. (2001), Journal of Statistical Planning and Inference. 92, 283-296
• Experiments with derived factors with application to hyrdraulic gear pumps Sexton, C.J., Lewis, S.M. and Please, C.P. (2001), Journal of the Royal Statistical Society Series C, 50, 155-170
• Combining one-sided and two-sided confidence interval procedures for successive comparisons of ordered treatment effects. Somerville, P., Miwa, T., Liu, W. and Hayter, A.J. (2001), Biometrical Journal, 43, 533-542
• A two-sample test for interval censoring case 2. Zhang, Y., Liu, A. and Zhan, Y.F. (2001), Biometrika, 88, 677-686