Experimental design in practice: The importance of blocking and treatment structures

DOI10.1111/anzs.12343zbMath1521.62131OpenAlexW3212613478MaRDI QIDQ6051642

Unnamed Author, Emlyn R. Williams, Unnamed Author, Unnamed Author

Publication date: 20 October 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12343

zbMATH Keywords

statistical consultingblocking factorsensory evaluationJapanese compositionsignalling peptide

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical block designs (62K10)

Cites Work

• History of the statistical design of agricultural experiments
• Linear variance, P-splines and neighbour differences for spatial adjustment in field trials: how are they related?
• t‐Latinized Designs
• Neighbor balance and evenness of distribution of treatment replications in row‐column designs
• The analysis of randomized experiments with orthogonal block structure. I. Block structure and the null analysis of variance
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