期刊
AMERICAN STATISTICIAN
卷 70, 期 1, 页码 1-8出版社
AMER STATISTICAL ASSOC
DOI: 10.1080/00031305.2015.1114970
关键词
Computer models; Data pooling; Design of experiments; Latin hypercube designs; Orthogonal array based
资金
- National Science Foundation [CMMI 1233570, DMS 1055214]
Pooling data from multiple sources plays an increasingly vital role in today's world. By using a popular Sudoku game, we propose a new type of design, called a Samurai Sudoku-based space-filling design to address this issue. Such a design is an orthogonal array-based Latin hypercube design with the following attractive properties: (i) the complete design achieves uniformity in both univariate and bivariate margins; (ii) it can be divided into groups of subdesigns with overlaps such that each subdesign achieves uniformity in both univariate and bivariate margins; and (iii) each of the overlaps achieves uniformity in both univariate and bivariate margins. Examples are given to illustrate the properties of the proposed design, and to demonstrate the advantages of using the proposed design for pooling data from multiple sources.[Received August 2013. Revised July 2015.]
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