We propose several methods of constructing a new type of design, called a sliced orthogonal Latin hypercube design. Such a design is a special orthogonal Latin hypercube design, of first-order or second-order, that can be divided into slices of smaller orthogonal Latin hypercube designs of the same order. This type of design is useful for computer experiments with qualitative and quantitative factors, multiple experiments, data pooling, and cross-validation. Examples are given to illustrate the proposed methods.
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty