In this paper, extreme value theory is considered for stationary sequences ζn satisfying dependence restrictions significantly weaker than strong mixing. The aims of the paper are: (i) To prove the basic theorem of Gnedenko concerning the existence of three possible non-degenerate asymptotic forms for the distribution of the maximum Mn = max(ξ1... ξn), for such sequences. (ii) To obtain limiting laws of the form {Mathematical expression} where Mn(r)is the r-th largest of ξ1... ξn, and Pr ξ1>un∼Τ/n. Poisson properties (akin to those known for the upcrossings of a high level by a stationary normal process) are developed and used to obtain these results. (iii) As a consequence of (ii), to show that the asymptotic distribution of Mn(r)(normalized) is the same as if the {ξn} were i.i.d. (iv) To show that the assumptions used are satisfied, in particular by stationary normal sequences, under mild covariance conditions. © 1974 Springer-Verlag.
CITATION STYLE
Leadbetter, M. R. (1974). On extreme values in stationary sequences. Zeitschrift Für Wahrscheinlichkeitstheorie Und Verwandte Gebiete, 28(4), 289–303. https://doi.org/10.1007/BF00532947
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