EconPapers    
Economics at your fingertips  
 

Mixture representation of Linnik distribution revisited

Tomasz J. Kozubowski

Statistics & Probability Letters, 1998, vol. 38, issue 2, 157-160

Abstract: Let Y[alpha] have a Linnik distribution, given by the characteristic function [psi](t) = (1 + t [alpha])-1. We extend the result of Kotz and Ostrovskii (1996) and show that Y[alpha] admits two different representations, where 0

Keywords: Geometric; stable; law; Heavy; tailed; distribution; Mittag-Leffler; distribution; Mixture; Random; summation; Simulation; Stable; law (search for similar items in EconPapers)
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00167-3
Full text for ScienceDirect subscribers only

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:eee:stapro:v:38:y:1998:i:2:p:157-160

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:38:y:1998:i:2:p:157-160