Abstract. It is shown that the sum of a Poisson and an independent approximately normally distributed integer valued random variable can be well approximated in total variation by a translated Poisson distribution, and further that a mixed translated Poisson distribution is close to a mixed translated Poisson distribution with the same random shift but fixed variance. Using these two results, a general approach is then presented for the approximation of sums of integer valued random variables, having some conditional independence structure, by a translated Pois-son distribution. We illustrate the method by means of two examples. The proofs are mainly based on Stein’s method for distributional approximation. 1
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Abstract. In this paper we show that Uspensky's expansion theorem for the Poisson approximation...
Let (Xn) be a sequence of Bernoulli random variables and N a positive integer value random variable....
It is shown that the distribution of the sum of a Poisson random variable and an independent approxi...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Stein's method is used to prove approximations in total variation to the distributions of integer va...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
Let W be a sum of n independent geometric random variables. In 2007, Teerapabolarn and Wongkasem [4]...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
Copyright c © 2014 K. Teerapabolarn. This is an open access article distributed under the Creative C...
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson ap...
If ƛ is a positive integer, then a Poisson random variable with parameter ƛ can be thought of as a s...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Abstract. In this paper we show that Uspensky's expansion theorem for the Poisson approximation...
Let (Xn) be a sequence of Bernoulli random variables and N a positive integer value random variable....
It is shown that the distribution of the sum of a Poisson random variable and an independent approxi...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Stein's method is used to prove approximations in total variation to the distributions of integer va...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
Let W be a sum of n independent geometric random variables. In 2007, Teerapabolarn and Wongkasem [4]...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
Copyright c © 2014 K. Teerapabolarn. This is an open access article distributed under the Creative C...
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson ap...
If ƛ is a positive integer, then a Poisson random variable with parameter ƛ can be thought of as a s...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Abstract. In this paper we show that Uspensky's expansion theorem for the Poisson approximation...
Let (Xn) be a sequence of Bernoulli random variables and N a positive integer value random variable....