Uniform semi-Latin squares and their pairwise-variance aberrations
R. A. Bailey, Leonard H. Soicher

TL;DR
This paper studies uniform semi-Latin squares, their optimality under Schur criteria, and their applications in constructing affine resolvable designs and BIBDs, especially focusing on cases where MOLS exist or do not exist.
Contribution
It characterizes uniform semi-Latin squares, identifies those with minimum pairwise-variance aberration, and constructs related combinatorial designs, including a complete classification for the case (6x6)/10.
Findings
Uniform semi-Latin squares are Schur optimal when they exist.
Complete classification of (6x6)/10 uniform semi-Latin squares with minimal PV aberration.
Construction methods for semi-Latin squares from MOLS and their application to design generation.
Abstract
For integers and , an semi-Latin square is an array of -subsets (called blocks) of an -set (of treatments), such that each treatment occurs once in each row and once in each column of the array. A semi-Latin square is uniform if every pair of blocks, not in the same row or column, intersect in the same positive number of treatments. We show that when a uniform semi-Latin square exists, the Schur optimal semi-Latin squares are precisely the uniform ones. We then compare uniform semi-Latin squares using the criterion of pairwise-variance (PV) aberration, introduced by J.P. Morgan for affine resolvable designs, and determine the uniform semi-Latin squares with minimum PV aberration when there exist mutually orthogonal Latin squares (MOLS) of order . These do not exist when , and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
