EXTREMES AND CLUSTERING OF NONSTATIONARY MAX-AR(1) SEQUENCES

被引:9
作者
ALPUIM, MT
CATKAN, NA
HUSLER, J
机构
[1] UNIV BERN,INST MATH STAT & VERSICHERUNGSLEHRE,CH-3012 BERN,SWITZERLAND
[2] UNIV LISBON,P-1700 LISBON,PORTUGAL
关键词
NONSTATIONARY; EXTREME VALUES; POINT PROCESSES; REGULAR VARIATION; WEAK LIMITS; MAX-AUTOREGRESSIVE SEQUENCES;
D O I
10.1016/0304-4149(94)00066-3
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider general nonstationary max-autoregressive sequences {X(i), i greater than or equal to 1}, with X(i) = Z(i)max(X(i-1), Y-i) where {Y-i, i greater than or equal to 1} is a sequence of i.i.d. random variables and {Z(i), i greater than or equal to 1} is a sequence of independent random variables (0 less than or equal to Z(i) less than or equal to 1), independent of {Y-i}. We deal with the limit law of extreme values M(n) = max{X(i), i less than or equal to n} (as n --> infinity) and evaluate the extremal index for the case where the marginal distribution of Y-i is regularly varying at infinity. The limit of the point process of exceedances of a boundary mu(n) by X(i), i less than or equal to n, is derived (as n --> infinity) by analysing the convergence of the cluster distribution and of the intensity measure.
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页码:171 / 184
页数:14
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