PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments.
Kristen B. HunterLuke MiratrixKristin PorterPublished in: J. Stat. Softw. (2024)
Keyphrases
- sample size
- model selection
- random sample
- finite sample
- upper bound
- random sampling
- covariance matrix
- lower bound
- progressive sampling
- experimental design
- small sample
- worst case
- pac learning
- statistical tests
- statistical hypothesis testing
- random samples
- generalization error
- vc dimension
- genetic algorithm
- machine learning
- confidence intervals
- variance reduction
- data sets
- data structure
- number of training samples
- small samples
- objective function