The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field.
Alessia VozziVincenzo RoncaPietro AricòGianluca BorghiniNicolina SciaraffaPatrizia CherubinoArianna TrettelFabio BabiloniGianluca Di FlumeriPublished in: Sensors (2021)
Keyphrases
- sample size
- model selection
- finite sample
- random sampling
- upper bound
- small sample size
- covariance matrix
- small sample
- statistical tests
- generalization error
- confidence intervals
- progressive sampling
- experimental design
- worst case
- pac learning
- variance reduction
- number of training samples
- small samples
- statistical power
- training data
- data mining
- lower bound
- random sample
- genetic algorithm
- statistical hypothesis testing