Abstract
The strong law of large numbers for independent and identically distributed random variables Xi, i = 1,2,3, …, with finite mean µ can be stated as, for any ∊ > 0, the number of integers n such that |n
−1 Σ
i=1
n
X
i
− μ| > ∊, N
(∊), is finite a.s. It is known, furthermore, that EN
(∊) < ∞ if and only if EX
1
2 < ∞. Here it is shown that if EX
1
2 < ∞ then ∊
2
EN
(∊)
→ var X
1 as ∊ → 0.
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Cited by
9 articles.
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