Abstract: A general method that can be used for the study of a discrete and finite random variable is presented. The method is based on the introduction of a transform of the probability density function, called γ-transform. A formula for computing the factorial moments directly from the γ-transform is derived. Moreover, it is shown how the γ-transform can be simply derived owing to its physical meaning for several combinatorial problems. Examples and applications relevant for computer science are provided
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
• Introduce methods that are useful in – Dealing with the sum of independent random variables, inclu...
AbstractAn n-dimensional random vector X is said (Cambanis, S., Keener, R., and Simons, G. (1983). J...
A general method that can be used for the study of a discrete and finite random variable is presente...
In this paper, we present a new method for the study of a discrete random variable whose probability...
In this paper, we present a new method for the study of a discrete random variable whose probability...
In this paper, we present a new method for the study of a discrete random variable whose probability...
none1noA general method that can be used for the study of a discrete and finite random variable is p...
Fractional moments have been investigated by many authors to represent the density of univariate and...
Fractional moments have been investigated by many authors to represent the density of univariate and...
In this thesis we construct novel functional representations for the Probability Density Functions (...
Purpose/Originality: To provide a basic concept of using transform approach to calculate the compoun...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
The product of independent random variables is studied through products of Mellin transforms. Althou...
Functions and Probability Theory, as a token of respect and gratitude. Abstract. The probability gen...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
• Introduce methods that are useful in – Dealing with the sum of independent random variables, inclu...
AbstractAn n-dimensional random vector X is said (Cambanis, S., Keener, R., and Simons, G. (1983). J...
A general method that can be used for the study of a discrete and finite random variable is presente...
In this paper, we present a new method for the study of a discrete random variable whose probability...
In this paper, we present a new method for the study of a discrete random variable whose probability...
In this paper, we present a new method for the study of a discrete random variable whose probability...
none1noA general method that can be used for the study of a discrete and finite random variable is p...
Fractional moments have been investigated by many authors to represent the density of univariate and...
Fractional moments have been investigated by many authors to represent the density of univariate and...
In this thesis we construct novel functional representations for the Probability Density Functions (...
Purpose/Originality: To provide a basic concept of using transform approach to calculate the compoun...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
The product of independent random variables is studied through products of Mellin transforms. Althou...
Functions and Probability Theory, as a token of respect and gratitude. Abstract. The probability gen...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
• Introduce methods that are useful in – Dealing with the sum of independent random variables, inclu...
AbstractAn n-dimensional random vector X is said (Cambanis, S., Keener, R., and Simons, G. (1983). J...