The potential of two-level orthogonal designs to fit models with main effects and two-factor
interaction effects is commonly assessed through the correlation between contrast vectors …

In this study, the agricultural inputs, energy requirements and costs associated with the
production of semi-dwarf (PR45 D03 and Avenir) and long-stem (Visby) cultivars of winter …

Experimental data are often highly structured due to the use of experimental designs. This
does not only simplify the analysis, but it allows for tailored methods of analysis that extract …

While the orthogonal design of split-plot fractional factorial experiments has received much
attention already, there are still major voids in the literature. First, designs with one or more …

Two-level orthogonal designs play an important role in industrial screening experiments, in
which the primary goal is to identify the treatment factors with the largest main effects on the …

This article presents a comparison of criteria used to characterize two-level designs for
screening purposes. To articulate the relationships among criteria, we focus on 7-factor …

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 …

We present a mixed integer linear programming approach to orthogonally block two-level,
multilevel, and mixed-level orthogonal designs. The approach involves an exact …

Orthogonal minimally aliased response surface (OMARS) designs con-stitute a new family of
three-level experimental designs for studying quantitative factors. Many experiments …

After completing the experimental runs of a screening design, the responses under study are
analyzed by statistical methods to detect the active effects. To increase the chances of …