It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial distributions, are precisely the so-called Poisson mixtures, i.e., mixtures of Poisson distribution
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
If a coin that comes up heads with probability p is tossed n times, the number of heads observed fol...
The Stein-Chen method is usedto give new bounds, non-uniform bounds, for the distances between the 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...
One more method of Poisson approximation is presented and illustrated with examples concerning binom...
This paper deals with negative binomial approximation to sums of independent Z(+)-valued random vari...
In this note we are concerned with the sums S=Y1+Y2+...+Yn, where every constituent follows the nega...
Data presented as contingency tables and classified by qualitative or quantitative methods are usual...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
The negative binomial distribution has become increasingly popular as a more flexible alternative to...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
extensively used for the description of data too heterogeneous to be fitted by a Poisson distributio...
summary:The main goal of this paper is to study the accuracy of approximation for the distributions ...
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
If a coin that comes up heads with probability p is tossed n times, the number of heads observed fol...
The Stein-Chen method is usedto give new bounds, non-uniform bounds, for the distances between the 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...
One more method of Poisson approximation is presented and illustrated with examples concerning binom...
This paper deals with negative binomial approximation to sums of independent Z(+)-valued random vari...
In this note we are concerned with the sums S=Y1+Y2+...+Yn, where every constituent follows the nega...
Data presented as contingency tables and classified by qualitative or quantitative methods are usual...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
The negative binomial distribution has become increasingly popular as a more flexible alternative to...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
extensively used for the description of data too heterogeneous to be fitted by a Poisson distributio...
summary:The main goal of this paper is to study the accuracy of approximation for the distributions ...
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
If a coin that comes up heads with probability p is tossed n times, the number of heads observed fol...
The Stein-Chen method is usedto give new bounds, non-uniform bounds, for the distances between the d...
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