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Eksperimen Faktor Penuh Adaptif×Eksperimen Faktorial Pecahan×
BidangReka Bentuk EksperimenReka Bentuk Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1950s (factorial foundations); adaptive extensions prominent from 1990s onward1945 (Finney); broader development 1950s–1970s by Box, Hunter
PengasasRooted in Box & Hunter factorial design tradition; adaptive extensions formalised by Atkinson, Donev and others in optimal design theoryD. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
JenisExperimental designQuantitative experimental design
Sumber perintisAtkinson, A., Donev, A., & Tobias, R. (2007). Optimum Experimental Designs, with SAS. Oxford University Press. ISBN: 978-0199296606Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Aliasadaptive full-factorial design, sequential full factorial experiment, adaptive complete factorial design, dynamic full factorial trialfractional factorial design, FFD, 2^(k-p) design, fractional replication
Berkaitan54
RingkasanAn 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.A fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments.
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ScholarGateBandingkan kaedah: Adaptive Full Factorial Experiment · Fractional Factorial Experiment. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare