Abstract
Nested Latin hypercube designs (LHDs) are proposed for conducting multiple computer experiments with different levels of accuracy. Orthogonality is shown to be an important feature. Little is known about the construction of nested orthogonal LHDs. We present methods to construct them with two or more layers, making use of orthogonal designs. The constructed designs possess the property that the sum of the elementwise products of any three columns is zero, which is shown to be desirable for factor screening.
Original language | English (US) |
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Pages (from-to) | 211-219 |
Number of pages | 9 |
Journal | Statistica Sinica |
Volume | 24 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2014 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty