Abstract
We derive randomization-based models for experiments with a chain of randomizations. Estimation theory for these models leads to formulae for the estimators of treatment effects, their standard errors, and expected mean squares in the analysis of variance. We discuss the practicalities in fitting these models and outline the difficulties that can occur, many of which do not arise in two-tiered experiments.
Original language | English |
---|---|
Pages (from-to) | 1131-1164 |
Number of pages | 34 |
Journal | Annals of Statistics |
Volume | 44 |
Issue number | 3 |
Early online date | 11 Apr 2016 |
DOIs | |
Publication status | Published - Jun 2016 |
Keywords
- Analysis of variance
- Expected mean square
- Mixed model
- Multiphase experiments
- Multitiered experiments
- Randomization-based model
- REML
- Structure
- Tier
Fingerprint
Dive into the research topics of 'Randomization-based models for multitiered experiments: I. A chain of randomizations'. Together they form a unique fingerprint.Profiles
-
R. A. Bailey
Person: Academic