Orthogonal column Latin hypercube designs with small samples
Prescott, Philip (2009) Orthogonal column Latin hypercube designs with small samples. Computational Statistics & Data Analysis, 53, (4), 1191-1200. (doi:10.1016/j.csda.2008.10.026).
Full text not available from this repository.
Latin hypercube designs with zero pair-wise column correlations are examined for their space-filling properties. Such designs, known as orthogonal-column Latin hypercube designs, are often used in computer experiments and in screening experiments since all coefficients in a first-order model are estimated independently of each other. This makes interpretation of the factor effects particularly simple. Complete or partial enumeration searches are carried out to investigate the space-filling properties of all orthogonal-column Latin hypercube designs with from 5 to 9 runs and from 2 to 5 factors. In cases where there are several designs with similar properties, the designs with minimum mean squared distance are determined. The maximum number of factors that can be accommodated in orthogonal-column Latin hypercube designs is determined for each design size, and designs found by various algorithmic methods proposed in the literature are identified.
|Keywords:||mean squared distance, orthogonal columns, space-filling designs, zero correlations|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||20 Oct 2008|
|Last Modified:||27 Mar 2014 18:45|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)