When experimentation is expensive and the number of factors is large, supersaturated designs can be useful. They are fractional factorial designs in which the number of factors is greater than the number of experimental runs. Recently, Yamada and Lin (Statist. Probab. Lett. 45 (1999) 31)...

Suppose it is desired to have an optimal resolution III fraction of a 2p factorial in n runs where n[reverse not equivalent]1 (mod 4) or n[reverse not equivalent]3 (mod 4). If n[reverse not equivalent]1 (mod 4), we have to decide if we should add a run in a nxp submatrix of a Hadamard matrix of...

The method of juxtaposition is used in the construction of E(fNOD)-optimal mixed level supersaturated designs, with the equal occurrence property. Some new supersaturated designs are obtained by this method.

Variable and model selection problems are fundamental to high-dimensional statistical modeling in diverse fields of sciences. Especially in health studies, many potential factors are usually introduced to determine an outcome variable. This paper deals with the problem of high-dimensional...

An important problem in experimental procedures is the selection of the appropriate design. A design with generalized minimum aberration (GMA) is often considered the best. However, other designs might suit better practical needs, especially when two factor interactions (2fis) are of interest....

In this paper, we obtain a large class of non-isomorphic two-level orthogonal arrays using juxtaposition of certain orthogonal arrays that arise from Hadamard matrices.