Consider using a bootstrap method?
Open
enhancement
- Dominant language
- JavaScript
- Stars
- 14
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
Bootstrapping is a common way to squeeze signal out of samples of data. It'll increase computation complexity but could offer us more confidence.
Contributor guide
Research direction
No files, tests, or entry points are named. Start by locating the Student's T-Distribution implementation and its sample-size calculations, then determine what bootstrap method and confidence measure are intended. Done should mean a defined bootstrap-based calculation, documented behavior, and coverage for representative samples.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100