Vol. 22, No. 1, 1967

Download this article
Download this article. For screen
For printing
Recent Issues
Vol. 332: 1  2
Vol. 331: 1  2
Vol. 330: 1  2
Vol. 329: 1  2
Vol. 328: 1  2
Vol. 327: 1  2
Vol. 326: 1  2
Vol. 325: 1  2
Online Archive
Volume:
Issue:
     
The Journal
About the journal
Ethics and policies
Peer-review process
 
Submission guidelines
Submission form
Editorial board
Officers
 
Subscriptions
 
ISSN 1945-5844 (electronic)
ISSN 0030-8730 (print)
 
Special Issues
Author index
To appear
 
Other MSP journals
On the weak law of large numbers and the generalized elementary renewal theorem

Walter Laws Smith

Vol. 22 (1967), No. 1, 171–188
Abstract

{Xn} is a sequence of independent, nonnegative, random variables and Gn(x) = P{X1 + + Xn x}.{an} is a sequence of nonnegative constants such that, for some α > 0,γ > 0, and function of slow growth L(x),

∑N      αN γL(N)
ar ∼ Γ-(1-+-γ) , as N → ∞.
1

A Generalized Elementary Renewal Theorem (GERT) gives conditions such that, for some μ > 0,

       ∑            αL (x)  x γ
Ψ (x ) =   arGr(x) ∼ Γ-(1-+-γ)(μ) , as x → ∞.
(*)

The Weak Low of Large Numbers (WLLN) states that (X1 + + Xn)∕n μ, as n →∞, in probability. Theorem 1 proves that WLLN implies (*). Theorem 3 proves that (*) implies WLLN if, additionally, it is given that (i) 1nP{Xj > n𝜖}→ 0 as n →∞, for every small 𝜖 > 0; (ii) for some 𝜖 > 0,n1 1n 0n𝜖P{Xj > x}dx is a bounded function of n. Theorem 2 supposes the {Xn} to have finite expectations and proves (*) implies WLLN if it is given that

      ℰX1--+ℰX2-+-⋅⋅⋅+-ℰXn-
limn→su∞p          n          ≦ μ,

in which case (X1 + + Xn)∕n necessarily tends to μ as n →∞. Finally, an example shows that () can hold while the WLLN fails to hold. Much use is made of the fact that a necessary and sufficient condition for the WLLN is that, for all small 𝜖 > 0,

1-∫ n𝜖∑n
n  0     P{Xj > x} dx → μ, as n → ∞.
1

Mathematical Subject Classification
Primary: 60.70
Milestones
Received: 11 November 1966
Revised: 30 January 1967
Published: 1 July 1967
Authors
Walter Laws Smith