Methodenbewijsdossier

Adaptive Full Factorial Experiment

An adaptive full factorial experiment is an experimental design that starts with a complete crossing of all factors and all their levels, then uses interim data to modify subsequent runs — dropping unpromising factor levels, adding new ones, or re-allocating replication — while preserving the full factorial structure within each phase. This integration of full factorial coverage with adaptive decision rules allows researchers to explore all main effects and interactions without committing to a fixed, inefficient run plan before any data are observed.

Sources recorded, not reviewed

Bronrecord

Citaten letterlijk overgenomen uit het bronrecord van de methode. Hieruit wordt geen verificatie op claimniveau afgeleid.

Adaptive Full Factorial Experimental Design

Taxonomisch methodendossier · process-pipeline / experimental-design

Atkinson, A., Donev, A., & Tobias, R. (2007). Optimum Experimental Designs, with SAS. Oxford University Press. · ISBN 978-0199296606
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119113478

Volledige methode openen

Gecureerde claims

Claims opgeslagen in het bewijsregister, elk met zijn eigen beoordeling.

Nog geen gecureerde claims

Deze weergave verzint geen claimbeoordeling als het register er geen heeft.

Gerelateerde methoden

Gegenereerd uit de methodegraaf en getoond als machinaal voorgestelde relaties — er wordt geen bewijsclaim afgeleid.

Taxonomic bucketAdaptive Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFractional Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFull Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.