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An algorithmic approach to constructing mixed-level orthogonal and near-orthogonal arrays Quasi Monte Carlo simulations of Brownian sheet with an application to interest rate stochastic string model A method for generating uniformly scattered points on the Lp-norm unit sphere and its application in statistical simulation A new class of model-robust designs A method for screening active effects in supersaturated designs What does the likelihood principle say about statistical process control? Locally D-optimal designs based on models combining an Emax and one-compartment models Design of accelerated life tests under interval censoring with random removals Statistical inference for the difference between the best treatment mean and a control mean A new class of orthogonal designs for computer experiments Estimating the dose-response pattern via multiple decision processes Global test statistics to assess a treatment effect in a study with multiple correlated outcomes A-optimal design for binary data under logistic regression model On the efficiency of experimental design and its some related problems Generalized wordtype pattern for nonregular factorial designs with multiple groups of factors Fractional factorial designs with admissible sets of clear two-factor interactions A general minimum lower-order confounding criterion for two-level regular designs The complementary theory and minimum aberration fractional factorial designs Applications of using quaternary codes to nonregular designs Nonregular two-level designs of resulotion IV or more containing clear two-factor interactions An application of serially balanced designs for the study of known taste samples with the a-ASTREE electronic tongue The orthogonal saturated parameter model and its statistical analysis An application of variable window scan statistics to molecular biology Statistical hypotheses and methods in clinical trials with active control non-inferiority design On lot acceptance and compliance testing in terms of the sample mean and minimum/maximum Robustness of an odds-ratio test in a stratified group sequential trial with a binary outcome measure Abstract: The standard paradigm for designing an experiment includes the identification of the set of treatments and the set of experimental units, and the choice of how to allocate the treatments to experimental units. See [1, 3]. Usually this choice involves some element of randomization.