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Computer packages have long been available to aid in the analysis of data. Only recently has the value of the computer in the data collection phase been recognized. This recognition has led to a proliferation of programs for the design of experiments. In this paper we review statistical developments that have made access to computing an integral part of experimental planning, describe programs currently available and comment on their utility.
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Stored only when both papers are in the corpus — 57 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.