Generating functions are suitable mathematical apparatus to describe the distribution of random variables. In this paper we introduce frequently used types of generating functions, their basic properties, uniqueness and benefits of use. We use this established mathematical apparatus for some known continuous and discrete distributions, but also the unusual practical examples. Then we fully utilize the strength of generating functions to solve interesting problems, often associated with creation of the theory of branching processes, an important area of probability theory
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
In many various practical problems we often deal with computing distribution functions of sums of in...
Functions and Probability Theory, as a token of respect and gratitude. Abstract. The probability gen...
Abstract. Generating functions have useful applications in many fields of study. In this paper, the ...
This document is a comparative study of four methods (Markov chains, compound processes, substructur...
This document is a comparative study of four methods (Markov chains, compound processes, substructur...
ABSTRACT. Branching processes are a well-established tool in mathematical biology used to study the ...
The concept of generating functions is useful to obtain the distribution and averages of the degree ...
Branching processes are a well-established tool in mathematical biology used to study the dynamics o...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
This text presents an overview on multivariate discrete distributions such as the multivariate Poiss...
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
In many various practical problems we often deal with computing distribution functions of sums of in...
Functions and Probability Theory, as a token of respect and gratitude. Abstract. The probability gen...
Abstract. Generating functions have useful applications in many fields of study. In this paper, the ...
This document is a comparative study of four methods (Markov chains, compound processes, substructur...
This document is a comparative study of four methods (Markov chains, compound processes, substructur...
ABSTRACT. Branching processes are a well-established tool in mathematical biology used to study the ...
The concept of generating functions is useful to obtain the distribution and averages of the degree ...
Branching processes are a well-established tool in mathematical biology used to study the dynamics o...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
This text presents an overview on multivariate discrete distributions such as the multivariate Poiss...
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
It is well known that the behaviour of a branching process is completely described by the generatin...
In many various practical problems we often deal with computing distribution functions of sums of in...