Indexing metadata

How big are the $l^\infty$-valued random fields?


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document How big are the $l^\infty$-valued random fields?
 
2. Creator Author's name, affiliation, country Hee-Jin Moon; Gyeongsang National University; Korea, Republic Of
 
2. Creator Author's name, affiliation, country Chang-Ho Han; Gyeongsang National University; Korea, Republic Of
 
2. Creator Author's name, affiliation, country Yong-Kab Choi; Gyeongsang National University; Korea, Republic Of
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) linearly positive quadrant dependence, linearly negative quadrant dependence, stationary random field, law of the iterated logarithm.
 
3. Subject Subject classification 60F10, 60F15, 60G17, 60G60
 
4. Description Abstract In this paper we establish path properties and a generalized uniform law of the iterated logarithm (LIL) for strictly stationary and linearly positive quadrant dependent (LPQD) or linearly negative quadrant dependent (LNQD) random fields taking values in $l^\infty$-space.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2013-07-13
 
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/2417
 
10. Identifier Digital Object Identifier 10.1214/ECP.v18-2417
 
11. Source Journal/conference title; vol., no. (year) Electronic Communications in Probability; Vol 18
 
12. Language English=en 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.