Extremal behaviour in models of superposition of random variables

Authors

  • Luísa Pereira University of Beira Interior

DOI:

https://doi.org/10.57805/revstat.v2i2.13

Keywords:

extreme value, nonstationarity, extremal index, superposition of point processes

Abstract

Let X(i) ={Xgi(n)}n≥1, i= 1, 2, be sequences of random variables, where {gi(n)}n≥1 are disjoint and strictly increasing sequences of integer numbers such that {g1(n)}n≥1 ∪ {g2(n)}n≥1 = N. Using superposition of point processes, we study the extremal behaviour of a superposed sequence {Xn}n≥1 = {Xg1(n)}n≥1 ∪ {Xg2(n)}n≥1 , where we consider the proportion of variables superposed from each sequence asymptotically constant and {Xn}n≥1 verifying some dependence conditions. We apply the obtained results in the computation of the bivariate extremal index.

Published

2004-11-30

How to Cite

Pereira, L. (2004). Extremal behaviour in models of superposition of random variables. REVSTAT-Statistical Journal, 2(2), 163–178. https://doi.org/10.57805/revstat.v2i2.13