Latin hypercube designs have found wide application. Such designs guarantee uniform
samples for the marginal distribution of each input variable. We propose a method for …

This chapter discusses a general design approach to planning computer experiments, which
seeks design points that fill a bounded design region as uniformly as possible. Such designs …

We present a new method for constructing nearly orthogonal Latin hypercubes that greatly
expands their availability to experimenters. Latin hypercube designs have proven useful for …

This paper presents new Latin hypercube designs with minimal correlations between all
main, quadratic, and two-way interaction effects for a full second-order model. These new …

Latin hypercube designs (LHDs), widely used for computer experiments, are a very large
class of designs with desirable properties. Recently, a number of methods have been …

Latin hypercube designs (LHDs) have recently found wide applications in computer
experiments. A number of methods have been proposed to construct LHDs with …

We introduce a new class of designs, marginally coupled designs, for computer experiments
with both qualitative and quantitative variables. These designs maintain an economic run …

Orthogonal Latin hypercubes provide a class of useful designs for computer experiments.
Among the available methods for constructing such designs, the method of rotation is …

Latin hypercube designs (LHDs) have found wide application in computer experiments. It is
known that orthogonal LHDs guarantee the orthogonality between all linear effects, and …

A strong orthogonal array of strength t can achieve uniformity on finer grids when projected
onto any g dimensions for any g less than t. It can be regarded as a kind of uniform space …