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.

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...

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)...

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...

A supersaturated design is a factorial design in which the number of effects to be estimated is greater than the number of runs. It is used in many experiments, for screening purpose, i.e., for studying a large number of factors and identifying the active ones. In this paper, we propose a method...

The analysis of designs based on saturated orthogonal arrays poses a very difficult challenge since there are no degrees of freedom left to estimate the error variance. In this paper we propose a heuristic approach for the use of cumulative sum control chart for screening active effects in...