On Complete Convergence and Strong Law for Weighted Sums of i.i.d. Random Variables
Pingyan Chen,
Xiaofang Ma and
Soo Hak Sung
Abstract and Applied Analysis, 2014, vol. 2014, 1-7
Abstract:
We improve and generalize the result of Stout (1974, Theorem 4.1.3). In particular, the sharp moment conditions are obtained and some well-known results can be obtained as special cases of the main result. The method of the proof is completely different from that in Stout. We also improve and generalize Li et al. (1995) strong law for weighted sums of i.i.d. random variables.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/AAA/2014/251435.pdf (application/pdf)
http://downloads.hindawi.com/journals/AAA/2014/251435.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:251435
DOI: 10.1155/2014/251435
Access Statistics for this article
More articles in Abstract and Applied Analysis from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().