Normal approximations by Stein's method
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).
Volume (Year): 23 (2000)
Issue (Month): 1 ()
|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|
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: (Sonal Shukla)or (Christopher F Baum)
If references are entirely missing, you can add them using this form.