Bootstrapping
Bootstrapping
statistics
Uncommon
Rarity: Uncommon
A topic a little better known than average, read and translated beyond its own country.
Rarity follows how well known the article is: its views on the French and English Wikipedia over a year, and the number of languages it exists in.
At a glance
- Class
- Notion
- Domain
- Science and technology
- In collections
- Nobody has pulled it yet.
What Wikipedia says
Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model which is estimated from the data. Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates.
Excerpt from the Wikipedia article “Bootstrapping (statistics)”, under the CC BY-SA 4.0 license. Read the article on Wikipedia
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