bootstrap¶
The. (1979). bootstrap.
Retired. This entry was not a citation. Our extractor stored an inline prose definition from the article as though it were a bibliographic record, so its title is the name of a concept rather than of a published work. The page is kept because links to it still resolve, but it is withdrawn from the reference list. This entry is kept so the citations that pointed at it still resolve, and so the correction is visible rather than silent.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Bootstrap-Like Checks
- Bradley Efron's bootstrap generalized this into one of the most widely used tools in applied statistics precisely because it asks so little about the distribution's form.
This sourceIts power is its minimal distributional demand; its one hard assumption is that the sample stands in for the population.
- Bradley Efron's bootstrap generalized this into one of the most widely used tools in applied statistics precisely because it asks so little about the distribution's form.
- Resampling Robustness Audit
- Its strength is exposing false precision from small or influential samples, cheaply and without new data: the bootstrap approximates the sampling distribution of almost any statistic by resampling the data, so instability that a formula-based standard error would paper over becomes visible.
This sourceIt makes finite-sample instability visible for statistics with no clean analytic standard error — but a bootstrap that resamples dependent observations as if independent understates uncertainty, which is why the resampling unit is the audit's load-bearing choice.
- Its strength is exposing false precision from small or influential samples, cheaply and without new data: the bootstrap approximates the sampling distribution of almost any statistic by resampling the data, so instability that a formula-based standard error would paper over becomes visible.
Verification¶
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