Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Ubunifu wa Kijamii wa Nusu (2^(k-p) Fractional Factorial Design)× | Muundo Uliohuru Kabisa (CRD)× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Hypothesis test | Hypothesis test |
| Mwaka wa asili≠ | 1961 | 1935 |
| Mwanzilishi≠ | George E. P. Box and J. Stuart Hunter | R. A. Fisher |
| Aina≠ | Screening and economical factorial design | Parametric group comparison via one-way ANOVA |
| Chanzo asilia≠ | 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 |
| Majina mbadala | 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) |
| Zinazohusiana≠ | 7 | 3 |
| Muhtasari≠ | 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. |
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