The Stein-Chen method is usedto give new bounds, non-uniform bounds, for the distances between the distribution of a sum of independent negative binomial random variables and a Poisson distribution with mean, where ri and pi = 1-qi are parameters of each negative binomial distribution. Results of this study are superior than those presented in Teerapabolarn (2014) and Hung and Giang (2016)
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson ap...
Abstract: In many situations, the Poisson approximation is appropriate for sums of Bernoulli random ...
This paper deals with negative binomial approximation to sums of independent Z(+)-valued random vari...
This paper uses the Stein-Chen method to obtain uniform and non-uniform bounds in the Poisson approx...
Let W be a sum of n independent geometric random variables. In 2007, Teerapabolarn and Wongkasem [4]...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
This paper uses Stein’s method and the characterization of beta binomial random variable to determin...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Abstract: We use the Stein-Chen method to obtain two formulas of non-uniform bounds for the errors i...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson ap...
Abstract: In many situations, the Poisson approximation is appropriate for sums of Bernoulli random ...
This paper deals with negative binomial approximation to sums of independent Z(+)-valued random vari...
This paper uses the Stein-Chen method to obtain uniform and non-uniform bounds in the Poisson approx...
Let W be a sum of n independent geometric random variables. In 2007, Teerapabolarn and Wongkasem [4]...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
This paper uses Stein’s method and the characterization of beta binomial random variable to determin...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Abstract: We use the Stein-Chen method to obtain two formulas of non-uniform bounds for the errors i...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...