EXTREME VALUE THEORY AND STOCHASTIC PROCESSES

Author(s):  
M.R. LEADBETTER
1970 ◽  
Vol 7 (01) ◽  
pp. 99-113 ◽  
Author(s):  
C. W. Anderson

Let ξn be the maximum of a set of n independent random variables with common distribution function F whose support consists of all sufficiently large positive integers. Some of the classical asymptotic results of extreme value theory fail to apply to ξn for such F and this paper attempts to find weaker ones which give some description of the behaviour of ξn as n → ∞. These are then applied to the extreme value theory of certain regenerative stochastic processes.


1970 ◽  
Vol 7 (1) ◽  
pp. 99-113 ◽  
Author(s):  
C. W. Anderson

Let ξn be the maximum of a set of n independent random variables with common distribution function F whose support consists of all sufficiently large positive integers. Some of the classical asymptotic results of extreme value theory fail to apply to ξn for such F and this paper attempts to find weaker ones which give some description of the behaviour of ξn as n → ∞. These are then applied to the extreme value theory of certain regenerative stochastic processes.


2004 ◽  
Vol 2004 (3) ◽  
pp. 211-228 ◽  
Author(s):  
Mario V. Wüthrich

1985 ◽  
Author(s):  
M. R. Leadbetter

2005 ◽  
Vol 7 (2) ◽  
pp. 63-84 ◽  
Author(s):  
Kaj Nyström ◽  
Jimmy Skoglund

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