Two interesting results encountered in the literature concerning the Poisson and the negative binomial distributions are due to MORAN (1952) and PATIL & SESHADRI (1964), respectively. MORAN's result provided a fundamental property of the Poisson distribution. Roughly speaking, he has shown that if Y, Z are independent, non-negative, integer-valued random variables with X=Y | Z then, under some mild restrictions, the conditional distribution of Y | X is binomial if and only if Y, Z are Poisson random variables. Motivated by MORAN's result PATIL & SESHADRI obtained a general characterization. A special case of this characterization suggests that, with conditions similar to those imposed by MORAN, Y | X is negative hypergeometric if and only...
The binomial and multinomial distributions are, probably, the best known distributions because of th...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
AbstractLet X be a discrete random variable with parameter λ = E[X] < ∞ and denote B(n,r,a) = (nrnr)...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Consider two non-negative integer-valued r.v.'s X,Y with X=>Y. Suppose that the conditional distribu...
The paper gives a number of generalizations of the Moran characterization of the binomial distributi...
extensively used for the description of data too heterogeneous to be fitted by a Poisson distributio...
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...
In a recent paper, Shanbhag (1977) uses an elementary approach from renewal theory to give an extens...
Bartlett (1936) showed that if r is a Poisson variable with mean m and y is a random variable whose ...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
This paper deals with a characterization of the negative multinomial distribution. It is based on th...
It is shown that the negative binomial distribution NB(r,p) may arise out of an identical but depend...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
The binomial and multinomial distributions are, probably, the best known distributions because of th...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
AbstractLet X be a discrete random variable with parameter λ = E[X] < ∞ and denote B(n,r,a) = (nrnr)...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Consider two non-negative integer-valued r.v.'s X,Y with X=>Y. Suppose that the conditional distribu...
The paper gives a number of generalizations of the Moran characterization of the binomial distributi...
extensively used for the description of data too heterogeneous to be fitted by a Poisson distributio...
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...
In a recent paper, Shanbhag (1977) uses an elementary approach from renewal theory to give an extens...
Bartlett (1936) showed that if r is a Poisson variable with mean m and y is a random variable whose ...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
This paper deals with a characterization of the negative multinomial distribution. It is based on th...
It is shown that the negative binomial distribution NB(r,p) may arise out of an identical but depend...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
The binomial and multinomial distributions are, probably, the best known distributions because of th...
The Poisson regression model remains an important tool in the econometric analysis of count data. In...
AbstractLet X be a discrete random variable with parameter λ = E[X] < ∞ and denote B(n,r,a) = (nrnr)...