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| 무작위 완전 블록 설계 (RCBD)× | 이원 분산 분석 (Two-Way ANOVA)× | |
|---|---|---|
| 분야≠ | 실험설계 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1935 | 1925 |
| 창시자 | Ronald A. Fisher | Ronald A. Fisher |
| 유형≠ | Parametric blocked ANOVA | Parametric factorial mean comparison |
| 원전≠ | Montgomery, D.C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1-119-32093-7 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 |
| 별칭≠ | RCBD, randomized block design, complete block design, Tesadüf Bloklu Desen (RCBD) | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA |
| 관련 | 6 | 6 |
| 요약≠ | The Randomized Complete Block Design (RCBD) is a parametric experimental design and hypothesis-testing framework that isolates and removes a known source of heterogeneity — called a block — before comparing treatment means. Introduced by Ronald A. Fisher in his 1935 monograph The Design of Experiments, it remains the foundational blocked design in agricultural, clinical, and industrial research. | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. |
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