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。

2^(k-p) 分割要因計画×完全に無作為化デザイン(CRD)×
分野実験計画法実験計画法
系統Hypothesis testHypothesis test
提唱年19611935
提唱者George E. P. Box and J. Stuart HunterR. A. Fisher
種類Screening and economical factorial designParametric group comparison via one-way ANOVA
原典Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351. link ↗Montgomery, D.C. (2017). Design and Analysis of Experiments. Wiley. ISBN: 978-1119320937
別名2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)CRD, completely randomised design, one-way experimental design, Tam Tesadüf Deneme Deseni (CRD)
関連73
概要The fractional factorial design is an economical experimental strategy that investigates k factors by running only a carefully chosen 1/2^p fraction of the full 2^k factorial experiment. Formalized by George E. P. Box and J. Stuart Hunter in their landmark 1961 Technometrics paper, it exploits the sparsity-of-effects principle — that high-order interactions are typically negligible — to screen many factors with far fewer runs than a complete factorial would require.The completely randomized design is the most fundamental experimental design, in which experimental units are assigned to treatments entirely at random with no restrictions. Analysed by one-way ANOVA, it was formalised by R. A. Fisher in the 1930s and remains the reference starting point for experimental research whenever the experimental material is homogeneous and nuisance variation is absent or negligible.
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: Fractional Factorial Design · Completely Randomized Design. 2026-06-18に以下より取得 https://scholargate.app/ja/compare