scholarly journals Parameter estimation of type I extreme value distribution based on order statistics

1989 ◽  
Vol 1989 (38) ◽  
pp. 15-30
Author(s):  
Ryoji IWASAKI ◽  
Jun KANDA
2012 ◽  
Vol 12 (14) ◽  
pp. 1501-1506 ◽  
Author(s):  
Ahmad Shukri Yah ◽  
Norlida Md. Nor ◽  
Nor Rohashikin ◽  
Nor Azam Ramli ◽  
Fauziah Ahmad ◽  
...  

1982 ◽  
Vol 14 (04) ◽  
pp. 833-854 ◽  
Author(s):  
Jonathan P. Cohen

Let F be a distribution in the domain of attraction of the type I extreme-value distribution Λ(x). In this paper we derive uniform rates of convergence of Fn to Λfor a large class of distributions F. We also generalise the penultimate approximation of Fisher and Tippett (1928) and show that for many F a type II or type III extreme-value distribution gives a better approximation than the limiting type I distribution.


2014 ◽  
Vol 680 ◽  
pp. 455-458
Author(s):  
Yu Han

The frequency that extreme events appear in the life is low,but once it appears,the impact will be significant; many scholars have conducted in depth research and found that statistical theory of extreme value. The theory of extreme statistics plays a more and more important role in many fields such as automatic control, assembly line etc. This paper,makes an in-depth research towards the characteristics and parameter estimation of the extreme value statistical models,as well as the application,mainly analyzes the Bayes parameter estimation method of extreme value distribution,the extreme value distribution theory and Copula function random vector model.


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