Convergence to type I distribution of the extremes of sequences defined by random difference equation
We study the extremes of a sequence of random variables (Rn) defined by the recurrence Rn=MnRn-1+q, n>=1, where R0 is arbitrary, (Mn) are iid copies of a non-degenerate random variable M, 0<=M<=1, and q>0 is a constant. We show that under mild and natural conditions on M the suitably normalized extremes of (Rn) converge in distribution to a double-exponential random variable. This partially complements a result of de Haan, Resnick, Rootzén, and de Vries who considered extremes of the sequence (Rn) under the assumption that .
Year of publication: |
2011
|
---|---|
Authors: | Hitczenko, Pawel |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 121.2011, 10, p. 2231-2242
|
Publisher: |
Elsevier |
Keywords: | Random difference equation Convergence in distribution Extreme value |
Saved in:
Saved in favorites
Similar items by person
-
Central limit theorem for the size of the range of a renewal process
Hitczenko, Pawel, (2005)
-
Best constant in the decoupling inequality for non-negative random variables
Hitczenko, Pawel, (1990)
- More ...