AbstractThe set of the functions H, which are limiting distributions of linearly normalized maxima of n independent and identically distributed random vectors, is treated. It is shown that there is a connection between Pickands' representation for H and the one given by D. G. Kendall for the p-function of Kingman. This is realized through the dependence function of Sibuya
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
For a given d-dimensional distribution function (df) H we introduce the class of dependence measures...
AbstractThe set of the functions H, which are limiting distributions of linearly normalized maxima o...
The set of the functions H, which are limiting distributions of linearly normalized maxima of n inde...
AbstractAny multivariate distribution can occur as the limit of extreme values in a sequence of inde...
AbstractWe discuss rates of convergence for the distribution of normalized sample extremes to the ap...
The study of multivariate extremes is dominated by multivariate regular variation, although it is we...
AbstractA well-known result in extreme value theory indicates that componentwise taken sample maxima...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
nuloLet f be a k-variate function d efined on Ω Ϲ Rd and consider the problem of estimat.ing the ext...
Abst.ract: Le t. f b e a k-variate fun ct ion d efined on neRd and con sider the problem of es timat...
Abstract. This paper presents a new estimation procedure for the limit distribution of the maximum o...
We study the characteristics of the Pickands' dependence function for bivariate extreme distribution...
This paper introduces max-characteristic functions (max-CFs), which are an offspring of multivariate...
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
For a given d-dimensional distribution function (df) H we introduce the class of dependence measures...
AbstractThe set of the functions H, which are limiting distributions of linearly normalized maxima o...
The set of the functions H, which are limiting distributions of linearly normalized maxima of n inde...
AbstractAny multivariate distribution can occur as the limit of extreme values in a sequence of inde...
AbstractWe discuss rates of convergence for the distribution of normalized sample extremes to the ap...
The study of multivariate extremes is dominated by multivariate regular variation, although it is we...
AbstractA well-known result in extreme value theory indicates that componentwise taken sample maxima...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
nuloLet f be a k-variate function d efined on Ω Ϲ Rd and consider the problem of estimat.ing the ext...
Abst.ract: Le t. f b e a k-variate fun ct ion d efined on neRd and con sider the problem of es timat...
Abstract. This paper presents a new estimation procedure for the limit distribution of the maximum o...
We study the characteristics of the Pickands' dependence function for bivariate extreme distribution...
This paper introduces max-characteristic functions (max-CFs), which are an offspring of multivariate...
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
Extreme value modeling has been attracting the attention of researchers in diverse areas such as th...
For a given d-dimensional distribution function (df) H we introduce the class of dependence measures...