For more than three centuries, the classical scheme of independent Bernoulli trials, starting with the work of Jacob Bernoulli, has been one of the most popular topics in probability theory. It is ideal for setting and solving various practical problems. Many results have been obtained related to modifications of this scheme, but new situations and new problems appear that require further progress in the study of various random variables associated to one degree or another with independent Bernoulli trials. Solutions to some of these problems are presented in this paper
In classical probability there are known many characterization of probability measures by independen...
The Bernoulli convolution with parameter $\lambda\in(0,1)$ is the measure on $\bf R$ that is the dis...
This paper studies the distribution of particular weighted sums of Bernoulli random variables. The c...
We study standard Bernoulli probability scheme for independent random variables (the symmetric case)...
• We use the Bernoulli distribution when we have an experiment which can result in one of two outcom...
• We use the Bernoulli distribution when we have an experiment which can result in one of two outcom...
AbstractBernoulli ("Ars Conjectandi," Basle, 1713) proved the first limit theorem of law of large nu...
This paper describes the contribution of the four famous Bernoullis (Jacob, Johann, Daniel and Nicol...
AbstractBernoulli ("Ars Conjectandi," Basle, 1713) proved the first limit theorem of law of large nu...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
In a set of n repeated Bernoulli trials where each trial results in an event E, the number of events...
A new approach to the study of the distributions of sums of n Bernoulli variables by conditional dis...
In classical Bernoulli processes, it is assumed that a single Bernoulli experiment can be described ...
In classical probability there are known many characterization of probability measures by independen...
In classical probability there are known many characterization of probability measures by independen...
The Bernoulli convolution with parameter $\lambda\in(0,1)$ is the measure on $\bf R$ that is the dis...
This paper studies the distribution of particular weighted sums of Bernoulli random variables. The c...
We study standard Bernoulli probability scheme for independent random variables (the symmetric case)...
• We use the Bernoulli distribution when we have an experiment which can result in one of two outcom...
• We use the Bernoulli distribution when we have an experiment which can result in one of two outcom...
AbstractBernoulli ("Ars Conjectandi," Basle, 1713) proved the first limit theorem of law of large nu...
This paper describes the contribution of the four famous Bernoullis (Jacob, Johann, Daniel and Nicol...
AbstractBernoulli ("Ars Conjectandi," Basle, 1713) proved the first limit theorem of law of large nu...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
In a set of n repeated Bernoulli trials where each trial results in an event E, the number of events...
A new approach to the study of the distributions of sums of n Bernoulli variables by conditional dis...
In classical Bernoulli processes, it is assumed that a single Bernoulli experiment can be described ...
In classical probability there are known many characterization of probability measures by independen...
In classical probability there are known many characterization of probability measures by independen...
The Bernoulli convolution with parameter $\lambda\in(0,1)$ is the measure on $\bf R$ that is the dis...
This paper studies the distribution of particular weighted sums of Bernoulli random variables. The c...