Abstract
Regular designs are also known as single flat designs. Parallel flats designs (PFDs) consisting of three parallel flats (3-PFDs) are the most frequently utilized PFDs, due to their simple structure. Generalizing to f-PFD with is more challenging. This paper aims to study the general theory for the f-PFD for any . We propose a method for obtaining the confounding frequency vectors for all nonequivalent f-PFDs, and to find the least G-aberration (or highest D-efficiency) f-PFD constructed from any single flat. PFDs are particularly useful for constructing nonregular fraction, split-plot or randomized block designs. We also characterize the quaternary code design series as PFDs. Finally, we show how designs constructed by concatenating regular fractions from different families may also have a parallel flats structure. Examples are given throughout to illustrate the results.
Acknowledgments
This research was accomplished during the first author’s 8-month research visit at the University of Tennessee, a visit made possible by Professor M.Q. Liu’s National Natural Science Foundation of China (Grant No. 11771220) and the National Ten Thousand Talents Program. We are also grateful to Boxin Tang and David Edwards for their helpful suggestions, and to a referee for suggesting that we explore concatenation of designs from different families.
Citation
Chunyan Wang. Robert W. Mee. "Two-level parallel flats designs." Ann. Statist. 49 (5) 3015 - 3042, October 2021. https://doi.org/10.1214/21-AOS2071
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