strong law of large numbers
Roughly, the laws of large numbers state that the average of a large number of draws of a random variable approaches the expectation. The strong law states that the probability that the average of the sequence fails to converge to the expectation is zero. This is a strictly stronger statement than the weak law, but requires stronger assumptions.
This concept has the prerequisites:
Core resources (we're sorry, we haven't finished tracking down resources for this concept yet)
Supplemental resources (the following are optional, but you may find them useful)
→ Mathematical Monk: Probability Primer (2011)
Online videos on probability theory.
→ A First Course in Probability
An introductory probability textbook.
Location: Section 8.4, "The strong law of large numbers," pages 443-445
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