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Near-factorial experiments in nested row–column designs regulating efficiencies
- Source :
- Journal of Statistical Planning and Inference. 193:109-116
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- We propose a method for constructing a nested row–column design d 0 , involving a control treatment and v test treatments, starting from a Youden or Latin square T and an incomplete block design d. It is shown how the choice of T and d regulates the efficiency factors of d 0 . Special attention is given to the case when the v test treatments have a factorial structure, and for appropriately chosen d, an admissibility property of d 0 , among all comparable designs, is established. Illustrative examples are given.
- Subjects :
- Statistics and Probability
Factorial
Applied Mathematics
05 social sciences
Structure (category theory)
Factorial experiment
Row and column spaces
01 natural sciences
Block design
Combinatorics
010104 statistics & probability
Latin square
0502 economics and business
Incomplete block design
0101 mathematics
Statistics, Probability and Uncertainty
Orthogonal array
050205 econometrics
Mathematics
Subjects
Details
- ISSN :
- 03783758
- Volume :
- 193
- Database :
- OpenAIRE
- Journal :
- Journal of Statistical Planning and Inference
- Accession number :
- edsair.doi...........958df316a03288f7898e96e69873ee6c