Limit theorems for extreme order statistics under nonlinear normalization

1985 ◽  
pp. 284-309 ◽  
Author(s):  
E. Pantcheva
Keyword(s):  
Order Statistics ◽  
Limit Theorems ◽  
Extreme Order Statistics ◽  
Nonlinear Normalization

Limit theorems for sums of order statistics

1976 ◽  
Vol 33 (4) ◽  
pp. 285-307
Author(s):  
B. L. S. Prakasa Rao
Keyword(s):  
Order Statistics ◽  
Limit Theorems

Representations and limit theorems for extreme value distributions

1978 ◽  
Vol 15 (03) ◽  
pp. 639-644 ◽  
Author(s):  
Peter Hall
Keyword(s):  
Stochastic Process ◽  
Order Statistics ◽  
Joint Distribution ◽  
Limit Theorems ◽  
Random Variables ◽  
Canonical Representation ◽  
Extreme Value ◽  
Limiting Distribution ◽  
Extreme Value Distributions ◽  
Independent Identically Distributed

LetXn1≦Xn2≦ ··· ≦Xnndenote the order statistics from a sample ofnindependent, identically distributed random variables, and suppose that the variablesXnn, Xn,n–1, ···, when suitably normalized, have a non-trivial limiting joint distributionξ1,ξ2, ···, asn → ∞. It is well known that the limiting distribution must be one of just three types. We provide a canonical representation of the stochastic process {ξn,n≧ 1} in terms of exponential variables, and use this representation to obtain limit theorems forξnasn →∞.

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