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Space-Filling Designs for Multi-Layer Nested FactorsThis articles considers computer experiments where levels for continuous factors are selected in sequential order with the level selected for one factor directly a ecting the range of possible levels for the nested factor, and so on for a nite number of factors. In addition, we assume the nested relationships between the factors have no closed form solution. In this paper, we propose an approach for constructing a multi-layer nested factor design, or multi-NFD for short. This space- lling design approach takes advan- tage of the maximin criterion and can be analyzed using a standard Gaussian process model. While the multi-NFD approach can be adapted for future computer experi- ments involving factor relationships of this type, we present results from a particular aerospace computer simulation study.



Document ID
20200002502
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Gryder, Ryan W.
(Boston Univ. Boston, MA, United States)
Wilson, Sara R.
(NASA Langley Research Center Hampton, VA, United States)
Swieringa, Kurt A.
(NASA Langley Research Center Hampton, VA, United States)
Edwards, David J.
(Virginia Commonwealth Univ. Richmond, VA, United States)
Date Acquired
April 17, 2020
Publication Date
October 18, 2018
Subject Category
Statistics And Probability
Report/Patent Number
NF1676L-28531
Report Number: NF1676L-28531
Funding Number(s)
WBS: 330693.04.10.07.07
Distribution Limits
Public
Copyright
Public Use Permitted.
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