Let Xn be a stationary sequence with marginal distribution in the domain of attraction of a max-semistable distribution. This includes all distributions in the domain of attraction of any max-stable distribution and also other distributions like some integer-valued distributions with exponential type tails such as the Negative Binomial case. We consider the effect of missing values on the distribution of the maximum term. The pattern of occurrence of the missing values must be either iid or strongly mixing. We obtain the expression of the extremal index for the resulting sequence.http://www.sciencedirect.com/science/article/B6V0M-4SMDYYX-2/1/492cb69c7442fc5a598f5b298378d39
Let be a sequence of independent random variables with common distribution and define the iteration ...
Let be a sequence of independent random variables with common distribution and define the iteration ...
2000 Mathematics Subject Classification: 62G32, 62G05.The class of max-semistable distributions appe...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...
Abstract: In this work we study the limiting distribution of the maximum term of periodic integer-va...
Abstract. In the classical limit theory for normalized sums of independent random variables we chang...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
AbstractLet (Xn) be a strictly stationary random sequence and Mn=max{X1,…,Xn}. Suppose that some of ...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
AbstractLet {Xn,n≥1} be a strictly stationary sequence of random variables and Mn=max{X1,X2,…,Xn}. A...
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. Let Xi=ϕ...
Suppose ( f, X, µ) is a measure preserving dynamical system and φ: X → R a measurable observable. Le...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
AbstractLet {Xk, k⩾1} be a multivariate Gaussian sequence, and Mn be the partial maxima, taken compo...
Let be a sequence of independent random variables with common distribution and define the iteration ...
Let be a sequence of independent random variables with common distribution and define the iteration ...
2000 Mathematics Subject Classification: 62G32, 62G05.The class of max-semistable distributions appe...
Let [X(n)] be a stationary sequence with marginal distribution in the domain of attraction of a max-...
Abstract: In this work we study the limiting distribution of the maximum term of periodic integer-va...
Abstract. In the classical limit theory for normalized sums of independent random variables we chang...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
AbstractLet (Xn) be a strictly stationary random sequence and Mn=max{X1,…,Xn}. Suppose that some of ...
Abstract: This paper deals with the limiting distribution of the maximum, under linear normalization...
AbstractLet {Xn,n≥1} be a strictly stationary sequence of random variables and Mn=max{X1,X2,…,Xn}. A...
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. Let Xi=ϕ...
Suppose ( f, X, µ) is a measure preserving dynamical system and φ: X → R a measurable observable. Le...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
AbstractLet {Xk, k⩾1} be a multivariate Gaussian sequence, and Mn be the partial maxima, taken compo...
Let be a sequence of independent random variables with common distribution and define the iteration ...
Let be a sequence of independent random variables with common distribution and define the iteration ...
2000 Mathematics Subject Classification: 62G32, 62G05.The class of max-semistable distributions appe...