Indexing metadata

A note on the invariance principle of the product of sums of random variables


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document A note on the invariance principle of the product of sums of random variables
 
2. Creator Author's name, affiliation, country Wei Huang; Zhejiang University
 
2. Creator Author's name, affiliation, country Li-Xin Zhang; Zhejiang University
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) product of sums of r.v.; central limit theorem; invariance of principle
 
3. Subject Subject classification 60F15;60F05
 
4. Description Abstract The central limit theorem for the product of sums of various random variables has been studied in a variety of settings. The purpose of this note is to show that this kind of result is a corollary of the invariance principle.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) Natural Science Foundation of China (NSFC) (No. 10471126)
 
7. Date (YYYY-MM-DD) 2007-03-14
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ecp.ejpecp.org/article/view/1255
 
10. Identifier Digital Object Identifier 10.1214/ECP.v12-1255
 
11. Source Journal/conference title; vol., no. (year) Electronic Communications in Probability; Vol 12
 
12. Language English=en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.

Summary of the Creative Commons Attribution License

You are free
  • to copy, distribute, display, and perform the work
  • to make derivative works
  • to make commercial use of the work
under the following condition of Attribution: others must attribute the work if displayed on the web or stored in any electronic archive by making a link back to the website of EJP via its Digital Object Identifier (DOI), or if published in other media by acknowledging prior publication in this Journal with a precise citation including the DOI. For any further reuse or distribution, the same terms apply. Any of these conditions can be waived by permission of the Corresponding Author.