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Sensitivity analysis with central composite design/Evidence
Method evidence record

Sensitivity analysis with central composite design

Sensitivity analysis with Central Composite Design (CCD) combines a structured, space-filling experimental layout with a systematic examination of how much each input factor drives changes in the response. CCD supports estimation of a full quadratic response surface model; sensitivity analysis then interrogates that model to rank factors by influence, identify interactions, and map the performance landscape — guiding engineers and researchers toward robust operating conditions and efficient optimisation.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Sensitivity Analysis with Central Composite Design
Taxonomic method record · process-pipeline / experimental-design
  • Box, G. E. P., & Wilson, K. B. (1951). On the Experimental Attainment of Optimum Conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45. · URL
  • Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119113478
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBox-Behnken Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCentral Composite Designmachine-suggested · Relational suggestion, not evidence.Used in the same domainFull Factorial Designmachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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