Professionals in all areas–business; government; the physical, life, and social sciences;
engineering; medicine, etc.–benefit from using statistical experimental design to better …

Two-level screening designs are widely applied in manufacturing industry to identify
influential factors of a system. These designs have each factor at two levels and are …

In recent years, there has been an increasing emphasis in the design of experiments
literature on optimal design. Many authors have recommended that optimal design of …

There are common choices for best response surface designs for the three-, four-, and five-
factor first-order model with all two-factor interactions when the goal is to precisely estimate …

We present and discuss the theory of minimax I-and D-robust designs on a finite design
space, and detail three methods for their construction that are new in this context:(i) a …

Two-level orthogonal arrays of N runs, k factors, and a strength of 3 provide suitable
fractional factorial designs in situations where many of the main effects are expected to be …

Optimal designs depend upon a prespecified model form. A popular and effective model-
robust alternative is to design with respect to a set of models instead of just one. However …

Robustness of design is a vast topic–the Current Index to Statistics lists over 700 articles
purporting to discuss it–and so we shall first clarify our restricted interpretation of the term. By …

We propose a candidate-list-free exchange algorithm that facilitates construction of exact,
model-robust, two-level experiment designs. In particular, we investigate two model spaces …

Optimal designs are often used for constrained mixture experiments because of the irregular
design spaces. For these experiments, the number of blends needed to fit standard linear …