Bootstrap is a resampling technique that estimates the sampling distribution of a statistic by repeatedly drawing random samples with replacement from the observed dataset. Parameters: the original sample of n observations, the statistic to estimate (mean, variance, median, etc.), and the number of resamples B. The procedure operates by generating B resampled datasets of size n, computing the statistic on each, and using the resulting empirical distribution to construct confidence intervals, estimate standard errors, or perform hypothesis tests. Persistence mechanism: algorithmic procedure implemented in statistical computing software. [formal: bootstrap | substrate: behavior | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
bootstrap
Bootstrap is a resampling technique that estimates the sampling distribution of a statistic by repeatedly drawing random samples with replacement from the observed dataset. Parameters: the original sample of n observations, the statistic t…
Definition
Why it is in scope
A human-made statistical methodology: a computational resampling procedure that estimates the sampling distribution of a statistic by repeatedly drawing samples with replacement from the observed data. Built to persist through algorithmic implementation in statistical software.
Names and aliases
- bootstrapen · CANONICAL
Relations from this entry
- cmsdfdqpw03tt3vv3zzh0uh0qINSTANCE_OF →
Bootstrap is a specific kind of resampling method. The specific points at the general: bootstrap INSTANCE_OF resampling. Direction tested — bootstrap is a subcategory, not the parent.
- cmrxj3acr03cmsoacx73fal1oDEPENDS_ON →
Bootstrap is a statistical resampling technique that requires the framework of statistics to operate. Removal test: remove statistics and bootstrap as a method ceases to function — it has no operational meaning outside statistics. The concept operates through statistical inference about sampling distributions (Law 8b).
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Aug 9, 2026, 7:47 PM UTC
- Content hash
- ae96a622855ab50f5619edc2c2ec87f9e88c0d2f2d5dbdcf2c0bddaa153cc2a6