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Robust designs with dynamic characteristics, also called signal-response systems, are used in practice to determine control settings which make a system's performance robust over a wide range of input conditions. In this paper, we review existing methods for their analysis and propose the use of a joint generalized linear model. The joint model approach is based on standard regression modelling techniques so that model assumptions can be investigated using residual analysis. It has the advantage that it uses all of the data rather than relying on summary statistics, and the approach is applicable to a wide range of response types.
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Stored only when both papers are in the corpus — 50 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.