EconPapers    
Economics at your fingertips  
 

On the asymptotic behavior of maxima and near-maxima of random observations from three parameter lognormal distribution

J. Vasantha Kumari, R. Vasudeva and S. Ravi

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 17, 8737-8747

Abstract: In this article, we show that linearly normalized partial maxima of random observations from a three-parameter lognormal distribution converges weakly to a Gumbel distribution and establish a strong convergence theorem. We also discuss the asymptotic behavior of the number of near-maxima and sum of near-maxima random variables.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2016.1189572 (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:taf:lstaxx:v:46:y:2017:i:17:p:8737-8747

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2016.1189572

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:46:y:2017:i:17:p:8737-8747