Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model.
Andrew C. LeonMoonseong HeoPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- sample size
- linear regression model
- mixed effects
- regression model
- model selection
- regression analysis
- linear regression
- random sampling
- random effects
- confidence intervals
- small sample
- experimental design
- statistical power
- statistical tests
- upper bound
- random samples
- linear model
- regression trees
- structure learning
- computer vision
- variance reduction
- random sample
- small samples
- worst case
- least squares
- interval valued data