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The main purpose of the paper is to show how generalized cyclic designs can be used for partial confoundings in factorial experiments, so as to provide an orthogonal analysis of main effects and interactions. The efficiencies of the designs are examined and it is shown how good designs for estimating main effects can be easily obtained.
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Stored only when both papers are in the corpus — 43 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.