We present an integral test to determine the limiting behavior of weighted sums of independent, symmetric random variables with stable distributions, and deduce Chover-type laws of the iterated logarithm for them.
On the limiting behavior of randomly weighted partial sums
β Scribed by Andrew Rosalsky; M. Sreehari
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 413 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
We study the almost sure limiting behavior and convergence in probability of weighted partial sums of the form ~-~j=l, W~jX, j where { W~j, 1 -.~j ~< n, n 1> 1 } and {X,j, 1 ~~ 1 }are triangular arrays of random variables. The results obtain irrespective of the joint distributions of the random variables within each array. Applications concerning the Efron bootstrap and queueing theory are discussed.
π SIMILAR VOLUMES
## Abstract Let {__S~n~__, __n__ β₯ 1} be partial sums of independent identically distributed random variables. The almost sure version of CLT is generalized on the case of randomly indexed sums {__S~Nn~__, __n__ β₯ 1}, where {__N~n~__, __n__ β₯ 1} is a sequence of positive integerβvalued random varia