EconPapers    
Economics at your fingertips  
 

Almost sure limit theorems for the maximum of stationary Gaussian sequences

Endre Csáki and Khurelbaatar Gonchigdanzan

Statistics & Probability Letters, 2002, vol. 58, issue 2, 195-203

Abstract: We prove an almost sure limit theorem for the maxima of stationary Gaussian sequences with covariance rn under the condition rn log n(loglog n)1+[var epsilon]=O(1).

Keywords: Almost; sure; central; limit; theorem; Logarithmic; average; Stationary; Gaussian; sequence (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(02)00128-1
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:58:y:2002:i:2:p:195-203

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:58:y:2002:i:2:p:195-203