In this thesis we define two most common types of convergence of probability measures and show relations between them. Using examples, we show that our result is sharp. After that, we discuss weak convergence of probability measures and convergence of random variables in distribution defined by weak convergence of probability distributions. Above all, we provide a survey among various types of convergence of random variables and relations among them
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
This book provides a thorough exposition of the main concepts and results related to various types o...
Weak convergence of probability measures on function spaces has been active area of research in rece...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
A large number of results are available about the weak convergence of probability measures in spaces...
A large number of results are available about the weak convergence of probability measures in spaces...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
AbstractIn this paper we continue our investigation of recent notions of λ-statistical convergence i...
AbstractIn this paper the ideas of different types of convergence of a sequence of random variables ...
The hypo-convergence of upper semicontinuous functions provides a natural framework for the study of...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
This book provides a thorough exposition of the main concepts and results related to various types o...
Weak convergence of probability measures on function spaces has been active area of research in rece...
Abstract. The hypo-convergence of upper semicontinuous functions provides a natural framework for th...
A large number of results are available about the weak convergence of probability measures in spaces...
A large number of results are available about the weak convergence of probability measures in spaces...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
AbstractIn this paper we continue our investigation of recent notions of λ-statistical convergence i...
AbstractIn this paper the ideas of different types of convergence of a sequence of random variables ...
The hypo-convergence of upper semicontinuous functions provides a natural framework for the study of...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
Herein, we generalize and extend some standard results on the separation and convergence of probabil...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...