Contributions to Statistics

A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties.- Robust Experimental Design for Choosing Between Models of Enzyme Inhibition.- Checking Linear Regression Models Taking Time into Account.- Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints.- Estimating and Quantifying Uncertainties on Level Sets Using the Vorobev Expectation and Deviation with Gaussian Process Models.- Optimal Designs for Multiple-Mixture by Process Variable Experiments.- Optimal Design of Experiments for Delayed Responses in Clinical Trials.- Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments.- Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling.- Randomization Based Inference for the Drop-The-Loser Rule.- Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response.- Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values.- Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity.- Optimal Design for Count Data with Binary Predictors in Item Response Theory.- Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles.- Approximate Bayesian Computation Design (ABCD), An Introduction.- Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population Pk/Pd Studies.- c-Optimal Designs for the Bivariate Emax Model.- On the Functional Approach to Locally D-Optimum Design for Multiresponse Models.- Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models.- D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring.- Convergence of An Algorithm for Constructing Minimax Designs.- Extended Optimality Criteria for Optimum Design in Nonlinear Regression.- Optimal Design for Multivariate Models with Correlated Observations.- Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression.- D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics.- Random Projections in Model Selection and Related Experimental Design Problems.- Optimal Design for the Bounded Log-Linear Regression Model.