The purpose of this article is to persuade experimenters to choose A-optimal designs rather
than D-optimal designs for screening experiments. The primary reason for this advice is that …

Order-of-addition orthogonal arrays to study the effect of treatment ordering Page 1 The Annals
of Statistics 2023, Vol. 51, No. 4, 1877–1894 https://doi.org/10.1214/23-AOS2317 © Institute of …

Scientific and reasonable planning of urban forests is crucial to mitigate the UHI effect and
create a comfortable local climate. This study focused on maximizing the synergistic effect of …

Conference designs are n× k matrices, k≤ n, with orthogonal columns, one zero in each
column, at most one zero in each row, and-1 and+ 1 entries elsewhere. Conference designs …

In practice, optimal screening designs for arbitrary run sizes are traditionally generated
using the D-criterion with factor settings fixed at±1, even when considering continuous …

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 …

Identifying interactions and understanding the underlying generating mechanism is
essential for interpreting the response of black‐box models. We offer a systematic analysis …

The generalized resolution was introduced and justified as a criterion for selecting
nonregular factorial designs. Although there has been extensive research conducted on …

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 …