scholarly journals On the joint limiting distribution of central and intermediate order statistics

Author(s):  
Vera Pagurova ◽  
◽  
Natalia Chizikova ◽  

1996 ◽  
Vol 41 (4) ◽  
pp. 840-853
Author(s):  
Shi Hong Cheng ◽  
Shi Hong Cheng ◽  
Лоренс де Хаан ◽  
Laurens de Haan ◽  
Jing Ping Yang ◽  
...  


Filomat ◽  
2018 ◽  
Vol 32 (9) ◽  
pp. 3355-3364 ◽  
Author(s):  
Yang Chen ◽  
Zhongquan Tan

In this paper, by using a new comparison inequality for order statistics of Gaussian variables, we proved an almost sure central limit theorem for extreme order statistics of stationary Gaussian sequences with covariance rn under the condition rn log n(log log n)1+? = O(1) for some ? > 0. A similar result on intermediate order statistics is also proved for stationary Gaussian sequences. The obtained results improve some of the existing results.



2001 ◽  
Vol 79 (2) ◽  
pp. 157-170 ◽  
Author(s):  
Marie-Françoise Barme-Delcroix ◽  
Margarida Brito


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