Abstract: In this work we study the limiting distribution of the maximum term of periodic integer-valued sequences with marginal distribution belong-ing to a particular class where the tail decays exponentially. This class does not belong to the domain of attraction of any max-stable distribution. Ne-vertheless, we prove that the limiting distribution is max-semistable when we consider the maximum of the first kn observations, for a suitable sequence {kn} increasing to infinity. We obtain an expression for calculating the extremal index of sequences satisfying certain local conditions similar to conditions D(m)(un), m ∈ N, defined by Chernick et al. (1991). We apply the results to a class of max-autoregressive sequences and a class of movin...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...
Let Xn be a stationary sequence with marginal distribution in the domain of attraction of a max-semi...
In this paper we investigate extremal properties connected with the so-called max-INAR process of or...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
AbstractWe consider general nonstationary max-autoregressive sequences Xi, i ⩾ 1, with Xi = Zimax(Xi...
We define a family of local mixing conditions that enable the computation of the extremal index of p...
Abstract. In the classical limit theory for normalized sums of independent random variables we chang...
2000 Mathematics Subject Classification: 62G32, 62G05.The class of max-semistable distributions appe...
In this thesis, we introduce asymptotic distribution and statistical theories of extreme values (max...
Suppose (f,X,μ) is a measure preserving dynamical system and ϕ:X→R a measurable observable. Let Xi=ϕ...
Suppose ( f, X, µ) is a measure preserving dynamical system and φ: X → R a measurable observable. Le...
Suppose ( f, X, µ) is a measure preserving dynamical system and φ: X → R a measurable observable. Le...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...
Let Xn be a stationary sequence with marginal distribution in the domain of attraction of a max-semi...
In this paper we investigate extremal properties connected with the so-called max-INAR process of or...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
AbstractWe consider general nonstationary max-autoregressive sequences Xi, i ⩾ 1, with Xi = Zimax(Xi...
We define a family of local mixing conditions that enable the computation of the extremal index of p...
Abstract. In the classical limit theory for normalized sums of independent random variables we chang...
2000 Mathematics Subject Classification: 62G32, 62G05.The class of max-semistable distributions appe...
In this thesis, we introduce asymptotic distribution and statistical theories of extreme values (max...
Suppose (f,X,μ) is a measure preserving dynamical system and ϕ:X→R a measurable observable. Let Xi=ϕ...
Suppose ( f, X, µ) is a measure preserving dynamical system and φ: X → R a measurable observable. Le...
Suppose ( f, X, µ) is a measure preserving dynamical system and φ: X → R a measurable observable. Le...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...
We discuss moving-maximum models, based on weighted maxima of independent random variables, for extr...