方法对比
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| 完全随机设计 (CRD)× | 单因素方差分析× | |
|---|---|---|
| 领域≠ | 实验设计 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1935 | 1925 |
| 提出者≠ | R. A. Fisher | Ronald A. Fisher |
| 类型≠ | Parametric group comparison via one-way ANOVA | Parametric mean comparison |
| 开创性文献≠ | Montgomery, D.C. (2017). Design and Analysis of Experiments. Wiley. ISBN: 978-1119320937 | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| 别名 | CRD, completely randomised design, one-way experimental design, Tam Tesadüf Deneme Deseni (CRD) | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| 相关≠ | 3 | 4 |
| 摘要≠ | 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. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
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