Blocking
Builds on Design of experimentsRandomization
Definition
Let be a finite set of treatments and a finite set of experimental units. Blocking is a partition of the units into disjoint blocks of units that are expected to respond alike. The partition is fixed before the treatments are assigned, and treatments are then assigned and compared within blocks. A design is a randomized complete block design if:
- each block has exactly units;
- each treatment occurs exactly once in each block, that is, restricted to is a bijection onto for every ;
- the bijections on the different blocks are chosen independently and uniformly at random, by randomization within blocks.
Remarks
The usual model for a randomized complete block design is , with treatment effects , block effects and independent errors. Differences within block do not contain , so block effects drop out of treatment comparisons.
Example: three varieties on four fields, each cut into three plots. The fields are the blocks, each of size ; in each field the three varieties are put on the three plots in an order chosen at random.
Non-example: if each field receives a single variety on all its plots, clause 2 fails. The variety effect is then confounded with the field effect, and the two cannot be separated.
When blocks are smaller than the number of treatments, clause 1 fails and one uses incomplete block designs, such as balanced incomplete block designs.
Reading path
To understand this page from the ground up, read these 3 pages in order. The foundations come first.
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- no evidence level
- Design of experiments concept
- Randomization concept
- Blocking definition
Further reading
About this page
| Tag | VC8286D7TZ |
|---|---|
| URI | m2://VC8286D7TZ |
| Kind | definition |
| Writing | W0 stub |
| MSC | 62K10 |
| Defines | Blocking |
| Uses | Design of experiments, Randomization |
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