The Latin hypercube design is a popular choice of experimental design when computer simulation is used to study a physical process. These designs guarantee uniform samples for the marginal distribution of each single input. A number of methods have been proposed for extending the uniform...

The paper included comparison of a 12-factor, 16-run design to randomly generated Latin hypercube designs and U-designs, with respect to the properties of their alias matrices. An error in a computer program led to incorrect computation of the properties of the alias matrix of the orthogonal...

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 constructing orthogonal Latin hypercube designs in which all the linear terms are orthogonal not only to each other, but also...