EconPapers    
Economics at your fingertips  
 

Maximum likelihood estimator of the scale parameter for the Riesz distribution

Kaouthar Kammoun, Mahdi Louati and Afif Masmoudi

Statistics & Probability Letters, 2017, vol. 126, issue C, 127-131

Abstract: This paper deals with the study of the maximum likelihood estimator of the scale parameter for the Riesz distribution. This distribution represents a natural generalization of the Wishart distribution. We give an explicit formula of this estimator and we examine some related asymptotic properties.

Keywords: Cholesky decomposition; Delta method; Inverse Riesz distribution; Maximum likelihood estimator; Riesz distributions (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715217300871
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:126:y:2017:i:c:p:127-131

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

DOI: 10.1016/j.spl.2017.02.031

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:126:y:2017:i:c:p:127-131