Erdős–Rényi law of large numbers

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The Erdős–Rényi law of large numbers is a refinement of the classical law of large numbers that provides precise asymptotic behavior and convergence rates for sums of independent random variables, developed by mathematicians Pál Erdős and Alfréd Rényi.

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Erdős–Rényi law of large numbers canonical 1

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Predicate Object
instanceOf probability theorem
refinement of the law of large numbers
result in probability theory
appliesTo identically distributed random variables
independent random variables
assumes finite variance under common formulations
independence of summands
characterizes fluctuations of normalized partial sums
concerns almost sure convergence
behavior of partial sums on logarithmic scales
rate of almost sure convergence
describes asymptotic behavior of sums of independent random variables
precise convergence rates in the law of large numbers
developedBy Alfréd Rényi NERFINISHED
Pál Erdős NERFINISHED
era 20th century mathematics
field mathematical statistics
probability theory
focusesOn fine asymptotics beyond classical LLN
hasConcept almost sure growth rate of partial sums
normalization of sums by slowly varying functions
influenced subsequent work on precise asymptotics in probability
language mathematical notation
mathematicalDomain measure-theoretic probability
namedAfter Alfréd Rényi NERFINISHED
Pál Erdős NERFINISHED
provides logarithmic normalization for partial sums
precise asymptotic bounds for partial sums
refines classical law of large numbers
strong law of large numbers
relatedTo Kolmogorov strong law of large numbers NERFINISHED
large deviations theory
law of the iterated logarithm NERFINISHED
topicOf research in asymptotic probability
typeOf almost sure limit theorem
limit theorem
usedIn limit theorems for sums of random variables
theoretical probability

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Pál Erdős knownFor Erdős–Rényi law of large numbers