On simulating truncated stable random variables
Mahdi Teimouri and
Saralees Nadarajah ()
Computational Statistics, 2013, vol. 28, issue 5, 2367-2377
Abstract:
Soltani and Shirvani (Comput Stat 25:155–161, 2010 ) proposed a scheme for simulating truncated stable random variables. That involves solving a nonlinear transformation in each realization. Here, we propose alternative schemes to generate truncated stable random variables. Our schemes are more general (for example, incorporates one-sided and two-sided truncations) and are shown to be more efficient. Copyright Springer-Verlag Berlin Heidelberg 2013
Keywords: Simulation; Stable distribution; Truncation (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s00180-013-0397-6 (text/html)
Access to full text is restricted to subscribers.
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:spr:compst:v:28:y:2013:i:5:p:2367-2377
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2
DOI: 10.1007/s00180-013-0397-6
Access Statistics for this article
Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik
More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().