Advanced Search
MyIDEAS: Login to save this article or follow this journal

Normal approximations by Stein's method

Contents:

Author Info

  • Yosef Rinott
  • Vladimir Rotar

Abstract

Stein's method for normal approximations is explained, with some examples and applications. In the study of the asymptotic distribution of the sum of dependent random variables, Stein's method may be a very useful tool. We have attempted to write an elementary introduction. For more advanced introductions to Stein's method, see Stein (1986), Barbour (1997) and Chen (1998).

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://link.springer.de/link/service/journals/10203/papers/0023001/00230015.pdf
Download Restriction: Access to the full text of the articles in this series is restricted.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Springer in its journal Decisions in Economics and Finance.

Volume (Year): 23 (2000)
Issue (Month): 1 ()
Pages: 15-29

as in new window
Handle: RePEc:spr:decfin:v:23:y:2000:i:1:p:15-29

Note: Received: 6 December 1999
Contact details of provider:
Web page: http://link.springer.de/link/service/journals/10203/index.htm

Order Information:
Web: http://link.springer.de/orders.htm

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2013. "Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors," CeMMAP working papers CWP76/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  2. Christophe Ley & Yvik Swan, 2011. "A unified approach to Stein characterizations," Working Papers ECARES 2013/88988, ULB -- Universite Libre de Bruxelles.
  3. Yun-Xia Li & Jian-Feng Wang, 2008. "An application of Stein’s method to limit theorems for pairwise negative quadrant dependent random variables," Metrika, Springer, vol. 67(1), pages 1-10, January.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:spr:decfin:v:23:y:2000:i:1:p:15-29. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F Baum).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.