Row-column factorial designs with multiple levels
Fahim Rahim, Nicholas Cavenagh

TL;DR
This paper characterizes the existence conditions for regular $m\times n$ row-column factorial designs with multiple levels, extending previous results for binary cases to multi-level designs, with applications in experimental blocking.
Contribution
It provides necessary and sufficient conditions for the existence of regular multi-level row-column factorial designs, generalizing prior work from binary to multi-level cases.
Findings
Established existence conditions for $I_k(m,n;q)$ designs.
Extended Godolphin's 2019 results to multi-level designs.
Connected designs to mutually orthogonal frequency rectangles.
Abstract
An {\em row-column factorial design} is an arrangement of the elements of a factorial design into a rectangular array. Such an array is used in experimental design, where the rows and columns can act as blocking factors. If for each row/column and vector position, each element has the same regularity, then all main effects can be estimated without confounding by the row and column blocking factors. Formally, for any integer , let . The (full) factorial design with replication is the multi-set consisting of occurrences of each element of ; we denote this by . A {\em regular row-column factorial design} is an arrangement of the the elements of into an array (which we say is of {\em type} ) such that for each row (column) and fixed vector…
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