Experimental Error Control is a methodological principle within experimental design that belongs to the class of techniques aimed at improving the precision of treatment effect estimates by systematically accounting for extraneous sources of variability through the formation of homogeneous blocks, thereby isolating random error from structured variation.
303
Publications
25.4K
Citations
749
Authors
349
Institutions
Publications per year
2017–2026
33
Parents
Publications
303
1–5 of 303
Authors
749
- RH
4
h-index
- AO
4
h-index
- IH
4
h-index
- FW
4
h-index
- LC
3
h-index
1–5 of 749
Institutions
349
University of Edinburgh
Edinburgh, United Kingdom
6 h-index
11 publications
692 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
9 publications
657 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
6 publications
378 citations
University College of the North
The Pas, Canada
4 h-index
9 publications
218 citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
10 publications
845 citations
University of Chicago
Chicago, United States
4 h-index
5 publications
305 citations
Bangor University
Bangor, United Kingdom
4 h-index
9 publications
218 citations
Tsinghua University
Beijing, China
4 h-index
11 publications
173 citations
1–8 of 349
Venues
- The Journal of Agricultural Science
6 publications · 717 citations
6
h-index
- PubMed
Repository · 5 publications · 219 citations
5
h-index
- Applied Optics
5 publications · 471 citations
5
h-index
- Crop Science
5 publications · 179 citations
5
h-index
- Biometrics
4 publications · 414 citations
4
h-index
1–5