This paper uses Stein’s method and the characterization of beta binomial random variable to determine a non-uniform bound for the distance between the beta binomial cumulative distribution function with parameters n N, 0 and 0 and the binomial cumulative distribution function with parameters n and . Some numerical examples are given to illustrate the obtained result
AbstractBeta distributions are usually defined on the unit interval [0,1]. For wider applicability, ...
AbstractA sequential approach to the estimation of the difference of two population means for distri...
In this paper, we use Stein’s method and Stein’s identity to give a result of the negative binomial ...
Copyright c © 2014 K. Teerapabolarn. This is an open access article distributed under the Creative C...
The Stein-Chen method is usedto give new bounds, non-uniform bounds, for the distances between the d...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
This paper aims at the Bayesian estimation for the loss and risk functions of the unknown parameter ...
We present some new and explicit error bounds for the approximation of distributions. The approximat...
We study properties of two probability distributions defined on the infinite set {0,1,2,…} and gener...
The beta-normal distribution is characterized by four parameters that jointly describe the location,...
Compound Poisson approximation is a useful tool in a variety of applications, including insurance ma...
This manuscript illustrates the implementation and testing of nine statisticaldistributions, namely ...
AbstractBeta distributions are usually defined on the unit interval [0,1]. For wider applicability, ...
AbstractA sequential approach to the estimation of the difference of two population means for distri...
In this paper, we use Stein’s method and Stein’s identity to give a result of the negative binomial ...
Copyright c © 2014 K. Teerapabolarn. This is an open access article distributed under the Creative C...
The Stein-Chen method is usedto give new bounds, non-uniform bounds, for the distances between the d...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
The method of sequential improvement of beta-distribution approximation for small parameter values s...
This paper aims at the Bayesian estimation for the loss and risk functions of the unknown parameter ...
We present some new and explicit error bounds for the approximation of distributions. The approximat...
We study properties of two probability distributions defined on the infinite set {0,1,2,…} and gener...
The beta-normal distribution is characterized by four parameters that jointly describe the location,...
Compound Poisson approximation is a useful tool in a variety of applications, including insurance ma...
This manuscript illustrates the implementation and testing of nine statisticaldistributions, namely ...
AbstractBeta distributions are usually defined on the unit interval [0,1]. For wider applicability, ...
AbstractA sequential approach to the estimation of the difference of two population means for distri...
In this paper, we use Stein’s method and Stein’s identity to give a result of the negative binomial ...