EconPapers    
Economics at your fingertips  
 

Asymptotics of maxima and sums for a type of strongly dependent isotropic Gaussian random fields

Zhongquan Tan

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 20, 5013-5028

Abstract: For a type of strongly dependent isotropic Gaussian random fields introduced by Mittal (1976), the joint limiting distribution of the maximum and the sum for the Gaussian random fields is derived. The asymptotic relation between the maximum and sum of the continuous time strongly dependent isotropic Gaussian random fields and the maximum and sum of this fields sampled at discrete time points is also obtained.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2017.1383430 (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:47:y:2018:i:20:p:5013-5028

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

DOI: 10.1080/03610926.2017.1383430

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:47:y:2018:i:20:p:5013-5028