ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

パイロット実験(実験計画法)×実験計画法における分割実験×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1920s (Fisher); pilot usage formalised mid-20th century1945 (Finney); broader development 1950s–1970s by Box, Hunter
提唱者R. A. Fisher (full factorial foundations); pilot application codified in applied DOE literature (Box, Hunter & Hunter; Montgomery)D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
種類Experimental design (pilot/screening phase)Quantitative experimental design
原典Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
別名pilot factorial design, pilot 2^k design, pilot complete factorial experiment, screening factorial pilotfractional factorial design, FFD, 2^(k-p) design, fractional replication
関連34
概要A pilot full factorial experiment is a small-scale, complete crossing of all selected factors at all their levels, run before a definitive study to gather preliminary effect estimates, assess variability, and verify experimental logistics. It retains the complete combinatorial structure of a full factorial design — every combination of factor levels is tested — but is intentionally limited in scope (fewer replicates, narrower factor ranges) to conserve resources while maximising learning about factor effects and interactions before committing to a larger investigation.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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Pilot full factorial experiment · Fractional Factorial Experiment. 2026-06-19に以下より取得 https://scholargate.app/ja/compare