On the compound Poisson limit for high level exceedances

1989 ◽  
Vol 26 (03) ◽  
pp. 458-465 ◽  
Author(s):  
Jonathan Cohen

Let ∊ 1 ∊ 2, · ··, be a stationary sequence satisfying the weak long-range dependence condition Δ (un (τ)) of [3] for every τ > 0, where nP(∊ 1 > un (τ))→ τ . Assume only that P (there are j exceedances of un (τ) by ∊ 1, ∊ 2, · ··, ∊ n) converges for all j with 0≦j≦υ<∞ and a given fixedτ. Then the same holds for every τ> 0. For 0≦j≦υ the limit is P(X = j) where X is compound Poisson and the multiplicity distribution is independent ofτ. These results are extended to more general levels un and to cases where the joint distribution of the numbers of exceedances of several levels is considered. The limiting distributions of linearly normalized extreme order statistics are derived as a corollary. An application to insurance claim data is discussed.

1989 ◽  
Vol 26 (3) ◽  
pp. 458-465 ◽  
Author(s):  
Jonathan Cohen

Let ∊1∊2, · ··, be a stationary sequence satisfying the weak long-range dependence condition Δ (un(τ)) of [3] for every τ > 0, where nP(∊1> un(τ))→ τ. Assume only that P (there are j exceedances of un(τ) by ∊1, ∊2, · ··, ∊n) converges for all j with 0≦j≦υ<∞ and a given fixedτ. Then the same holds for every τ> 0. For 0≦j≦υ the limit is P(X = j) where X is compound Poisson and the multiplicity distribution is independent ofτ. These results are extended to more general levels un and to cases where the joint distribution of the numbers of exceedances of several levels is considered. The limiting distributions of linearly normalized extreme order statistics are derived as a corollary. An application to insurance claim data is discussed.


1993 ◽  
Vol 30 (01) ◽  
pp. 112-120
Author(s):  
Helena Ferreira

Under appropriate long-range dependence conditions, it is well known that the joint distribution of the number of exceedances of several high levels is asymptotically compound Poisson. Here we investigate the structure of a cluster of exceedances for stationary sequences satisfying a suitable local dependence condition, under which it is only necessary to get certain limiting probabilities, easy to compute, in order to obtain limiting results for the highest order statistics, exceedance counts and upcrossing counts.


Author(s):  
Gonzalo Pita ◽  
Jean-Paul Pinelli ◽  
Judith Mitrani-Reiser ◽  
Steve Cocke ◽  
Kurt Gurley

2014 ◽  
Vol 37 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Dong-Sook Kim ◽  
Nam Kyung Je ◽  
Grace Juyun Kim ◽  
Hena Kang ◽  
Yoon Jin Kim ◽  
...  

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