Work

A complementary design theory for doubling

Year: 2008

Type: article

Abstract: Chen and Cheng [Ann. Statist. 34 (2006) 546–558] discussed the method of doubling for constructing two-level fractional factorial designs. They showed that for 9N/32≤n≤5N/16, all minimum aberration designs with N runs and n factors are projections of the maximal design with 5N/16 factors which is constructed by repeatedly doubling the 25−1 design defined by I=A B C D E. This paper develops a general complementary design theory for doubling. For any design obtained by repeated doubling, general identities are established to link the wordlength patterns of each pair of complementary projection designs. A rule is developed for choosing minimum aberration projection designs from the maximal design with 5N/16 factors. It is further shown that for 17N/64≤n≤5N/16, all minimum aberration designs with N runs and n factors are projections of the maximal design with N runs and 5N/16 factors.

Source: The Annals of Statistics

DOI: 10.1214/009005360700000712

Authors: Hongquan Xu, Ching-Shui Cheng

Institutions: University of California, Los Angeles, University of California, Berkeley

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: National Science Foundation, Academia Sinica

Awards: Studies in Fractional Factorial Design, Efficient Large Fractional Factorial Designs: Theory and Construction