summary:The present article studies the conditions under which the almost everywhere convergence and the convergence in measure coincide. An application in the statistical estimation theory is outlined as well
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
In this study, we defined concepts of Wijsman quasi-almost lacunary convergence, Wijsman quasi-stron...
In the present paper, we will give some new notions, such as ?-convergence and ?-Cauchy, by using th...
summary:The present article studies the conditions under which the almost everywhere convergence a...
AbstractTwo concepts - one of almost convergence and the other of statistical convergence - play a v...
This book provides a thorough exposition of the main concepts and results related to various types o...
In this thesis we define two most common types of convergence of probability measures and show relat...
International audienceConvergence almost everywhere cannot be induced by a topology, and if measure ...
Several notions of convergence for subsets of metric spaces appear in the literature. In this paper...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
In this paper, we defined concepts of Wijsman quasi-almost convergence and Wijsman quasi-almost stati...
The statistical convergence in metric spaces is considered. Its equivalence to the statistical funda...
It is shown that convergence in probability is sufficient for a strong measure of concordance to con...
summary:The concept of almost quasicontinuity is investgated in this paper in several directions (e....
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
In this study, we defined concepts of Wijsman quasi-almost lacunary convergence, Wijsman quasi-stron...
In the present paper, we will give some new notions, such as ?-convergence and ?-Cauchy, by using th...
summary:The present article studies the conditions under which the almost everywhere convergence a...
AbstractTwo concepts - one of almost convergence and the other of statistical convergence - play a v...
This book provides a thorough exposition of the main concepts and results related to various types o...
In this thesis we define two most common types of convergence of probability measures and show relat...
International audienceConvergence almost everywhere cannot be induced by a topology, and if measure ...
Several notions of convergence for subsets of metric spaces appear in the literature. In this paper...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
In this paper, we defined concepts of Wijsman quasi-almost convergence and Wijsman quasi-almost stati...
The statistical convergence in metric spaces is considered. Its equivalence to the statistical funda...
It is shown that convergence in probability is sufficient for a strong measure of concordance to con...
summary:The concept of almost quasicontinuity is investgated in this paper in several directions (e....
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
In this study, we defined concepts of Wijsman quasi-almost lacunary convergence, Wijsman quasi-stron...
In the present paper, we will give some new notions, such as ?-convergence and ?-Cauchy, by using th...
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