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Eksperimen Faktorial Pecahan×Reka Bentuk Eksperimen Faktorial Lengkap×
BidangReka Bentuk EksperimenReka Bentuk Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1945 (Finney); broader development 1950s–1970s by Box, Hunter1926 (Fisher's foundational paper); codified by the 1950s–1960s
PengasasD. J. Finney (formal development); foundations in Ronald Fisher's factorial design workRonald A. Fisher
JenisQuantitative experimental designExperimental design
Sumber perintisBox, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Aliasfractional factorial design, FFD, 2^(k-p) design, fractional replicationfull factorial design, complete factorial design, 2^k factorial design, FFD
Berkaitan46
RingkasanA 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.A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.
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ScholarGateBandingkan kaedah: Fractional Factorial Experiment · Full Factorial Experiment. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare