EconPapers    
Economics at your fingertips  
 

Strong Laws of Large Numbers for Arrays of Rowwise NA and LNQD Random Variables

Jiangfeng Wang and Qunying Wu

Journal of Probability and Statistics, 2011, vol. 2011, 1-10

Abstract:

Some strong laws of large numbers and strong convergence properties for arrays of rowwise negatively associated and linearly negative quadrant dependent random variables are obtained. The results obtained not only generalize the result of Hu and Taylor to negatively associated and linearly negative quadrant dependent random variables, but also improve it.

Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://downloads.hindawi.com/journals/JPS/2011/708087.pdf (application/pdf)
http://downloads.hindawi.com/journals/JPS/2011/708087.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:jnljps:708087

DOI: 10.1155/2011/708087

Access Statistics for this article

More articles in Journal of Probability and Statistics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:jnljps:708087