Burkschat et al. 2003 have introduced the concept of dual generalized order statistics dgos to unify several models that produce descendingly ordered random variables rv’s like reversed order statistics, lower k-records and lower Pfeifer records. In this paper we derive the limit distribution functions df’s of bivariate central and bivariate intermediate m-dgos. It is revealed that the convergence of the marginals of the m-dgos implies the convergence of the joint df. Moreover, we derive the conditions under which the asymptotic independence between the two marginals occurs.Burkschat et al. 2003 have introduced the concept of dual generalized order statistics dgos to unify several models that produce descendingly ordered...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
In this thesis, we study various probabilistic and statistical aspects of extreme value theory for g...
In this paper, we consider random variables counting numbers of observations that fall into regions ...
Abstract. Burkschat et al. (2003) have introduced the concept of dual generalized order statistics (...
• In Kamps [7] generalized order statistics (gos) have been introduced as a unifying theme for sever...
In this paper, we study the limit distribution functions of the (lower-lower), (upper-upper) and (lo...
Dual generalized order statistics constitute a unified model for descending order random variables, ...
In this note an interesting fact is proved that, for any vector of bivariate extreme order statistic...
In this note an interesting fact is proved that, for any vector of bivariate extreme order statistic...
Let {X-n = (X-n((1)),...,X-n((d))), n greater than or equal to 1} be independent identically distrib...
We discuss almost sure versions of distributional limit theorems for central and intermediate order ...
Distributional properties of two non-adjacent dual generalized order statistics have been used to ch...
AbstractSen (1974) established multidimensional functional limit theorems for generalized U-statisti...
AbstractDistributional properties of two non-adjacent dual generalized order statistics have been us...
Multivariate dependence of spacings of generalized order statistics is studied. It is shown that spa...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
In this thesis, we study various probabilistic and statistical aspects of extreme value theory for g...
In this paper, we consider random variables counting numbers of observations that fall into regions ...
Abstract. Burkschat et al. (2003) have introduced the concept of dual generalized order statistics (...
• In Kamps [7] generalized order statistics (gos) have been introduced as a unifying theme for sever...
In this paper, we study the limit distribution functions of the (lower-lower), (upper-upper) and (lo...
Dual generalized order statistics constitute a unified model for descending order random variables, ...
In this note an interesting fact is proved that, for any vector of bivariate extreme order statistic...
In this note an interesting fact is proved that, for any vector of bivariate extreme order statistic...
Let {X-n = (X-n((1)),...,X-n((d))), n greater than or equal to 1} be independent identically distrib...
We discuss almost sure versions of distributional limit theorems for central and intermediate order ...
Distributional properties of two non-adjacent dual generalized order statistics have been used to ch...
AbstractSen (1974) established multidimensional functional limit theorems for generalized U-statisti...
AbstractDistributional properties of two non-adjacent dual generalized order statistics have been us...
Multivariate dependence of spacings of generalized order statistics is studied. It is shown that spa...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
In this thesis, we study various probabilistic and statistical aspects of extreme value theory for g...
In this paper, we consider random variables counting numbers of observations that fall into regions ...