Berry–Esseen theorem
E32545
The Berry–Esseen theorem is a quantitative refinement of the central limit theorem that provides explicit bounds on the rate of convergence of normalized sums of independent random variables to the normal distribution.
Observed surface forms (2)
| Surface form | As subject | As object |
|---|---|---|
| Berry–Esseen bounds for dependent variables | 0 | 1 |
| multivariate Berry–Esseen bounds | 0 | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
probability theorem
→
quantitative central limit theorem → result in probability theory → |
| appliesTo |
independent identically distributed random variables
→
independent non-identically distributed random variables → |
| assumes |
finite third absolute moment
→
independent random variables → non-degenerate variance → |
| boundDependsOn |
number of summands
→
third absolute moment → variance → |
| category |
limit theorems
→
theorems in probability theory → |
| concerns |
convergence to the normal distribution
→
normalized sums of independent random variables → |
| errorTermOrder | O(1∕√n) → |
| field |
mathematical statistics
→
probability theory → |
| focusesOn | distribution function approximation → |
| formalizes | speed of convergence in the central limit theorem → |
| gives |
explicit constant in CLT approximation
→
uniform bound on distribution function distance → |
| guarantees | uniform closeness to normal distribution for large n → |
| hasApplicationsIn |
econometrics
→
quantitative finance → statistics → stochastic modeling → |
| hasGeneralizations |
Berry–Esseen theorem
self-linksurface differs
→
surface form:
Berry–Esseen bounds for dependent variables
Berry–Esseen theorem self-linksurface differs →
surface form:
multivariate Berry–Esseen bounds
|
| involves |
third absolute central moment
→
variance of summands → |
| namedAfter |
Andrew C. Berry
→
Carl-Gustav Esseen → |
| provides | rate of convergence bound → |
| refines | central limit theorem → |
| relatedTo |
Edgeworth expansion
→
Lindeberg–Feller central limit theorem → central limit theorem →
surface form:
Lyapunov central limit theorem
|
| statesBoundOfForm | C·ρ3∕σ3√n → |
| typeOf |
inequality in probability
→
limit theorem → |
| typicalConstantRange | between 0.4 and 1 in many formulations → |
| typicalMetric |
Kolmogorov distance
→
supremum norm of distribution functions → |
| usedFor |
accuracy assessment of normal approximation
→
error bounds in statistical approximations → finite-sample analysis in statistics → probabilistic error estimates in numerical methods → |
| yearIntroduced | 1941 → |
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
multivariate Berry–Esseen bounds
this entity surface form:
Berry–Esseen bounds for dependent variables