Single-Factor Designs is a type of experimental design in which treatments consist of different levels of a single independent variable, distinguished from other designs by the absence of additional factors or interactions.
370
Publications
49.5K
Citations
1.3K
Authors
478
Institutions
Publications per year
2017–2026
120
Publications
370
Factorial Sampling Plans for Preliminary Computational Experiments
Max D. Morris · Technometrics · 1991 · 3.9K citations
Statistical Procedures for Agricultural Research.
G. H. Freeman, K. A. Gomez, Á. Gómez · Biometrics · 1985 · 3.1K citations
Agriculture, Agronomy, Soil Sciences +14
Factorial Sampling Plans for Preliminary Computational Experiments
Max D. Morris · Technometrics · 1991 · 2.7K citations
1–5 of 370
Authors
1.3K
- DC
4
h-index
- DK
4
h-index
- JA
3
h-index
- VM
3
h-index
- WW
3
h-index
1–5 of 1.3K
Institutions
478
Pennsylvania State University
State College, United States
5 h-index
8 publications
1.4K citations
Yale University
New Haven, United States
5 h-index
7 publications
255 citations
University of Southampton
Southampton, United Kingdom
4 h-index
6 publications
147 citations
Northeast Forestry University
Harbin, China
4 h-index
21 publications
521 citations
China Pharmaceutical University
Nanjing, China
4 h-index
10 publications
208 citations
Jiangsu University
Zhenjiang, China
4 h-index
24 publications
750 citations
Guizhou University
Guiyang, China
4 h-index
16 publications
759 citations
KU Leuven
Leuven, Belgium
4 h-index
8 publications
233 citations
1–8 of 478
Venues
- Technometrics
17 publications · 8.6K citations
15
h-index
- Molecules
15 publications · 432 citations
13
h-index
- Journal of Statistical Planning and Inference
14 publications · 328 citations
12
h-index
- Educational and Psychological Measurement
7 publications · 1.8K citations
7
h-index
- Biometrika
5 publications · 139 citations
5
h-index
1–5