The sum of symmetric three-point 1-dependent nonidentically distributed random variables is approximated by a compound Poisson distribution. The accuracy of approximation is estimated in the local and total variation norms. For distributions uniformly bounded from zero, the accuracy of approximation is of the order O(n–1). In the general case of triangular arrays of identically distributed summands, the accuracy is at least of the order O(n–1/2). Nonuniform estimates are obtained for distribution functions and probabilities. The characteristic function method is used.
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
Abstract: In many situations, the Poisson approximation is appropriate for sums of Bernoulli random ...
Abstract: We use the Stein-Chen method to obtain two formulas of non-uniform bounds for the errors i...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson ap...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
Let W be a sum of n independent geometric random variables. In 2007, Teerapabolarn and Wongkasem [4]...
It is shown that the distribution of the sum of a Poisson random variable and an independent approxi...
The paper deals with approximations of random sums. By random sum we mean a sum of random number of ...
Abstract. We consider the approximation of the convolution product of not necessarily identical prob...
The paper deals with approximations of random sums. By random sum we mean a sum of random number of ...
Abstract. It is shown that the sum of a Poisson and an independent approximately normally distribute...
We present an estimate of the accuracy of normal approximation for the distribution of a ratio of su...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
Abstract: In many situations, the Poisson approximation is appropriate for sums of Bernoulli random ...
Abstract: We use the Stein-Chen method to obtain two formulas of non-uniform bounds for the errors i...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson ap...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
Let W be a sum of n independent geometric random variables. In 2007, Teerapabolarn and Wongkasem [4]...
It is shown that the distribution of the sum of a Poisson random variable and an independent approxi...
The paper deals with approximations of random sums. By random sum we mean a sum of random number of ...
Abstract. We consider the approximation of the convolution product of not necessarily identical prob...
The paper deals with approximations of random sums. By random sum we mean a sum of random number of ...
Abstract. It is shown that the sum of a Poisson and an independent approximately normally distribute...
We present an estimate of the accuracy of normal approximation for the distribution of a ratio of su...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
Abstract: In many situations, the Poisson approximation is appropriate for sums of Bernoulli random ...
Abstract: We use the Stein-Chen method to obtain two formulas of non-uniform bounds for the errors i...