AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial for this sum if the total variation distance is considered. Replacement of the normal approximation by its Poisson structured analogue changes the situation radically. Moreover, considering the Markov binomial distribution we prove that signed Poisson approximation can be more accurate than both the normal and Poisson approximations. Possible improvements due to asymptotic expansions are discussed
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
The problem of approximating the distribution of a sum S n = Σ i=1n Y i of n discrete random variabl...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
We overview the results on the topic of compound Poisson approximation to the distribution of a sum ...
We overview the results on the topic of compound Poisson approximation to the distribution of a sum ...
In this paper, we relate the framework of mod-φ convergence to the construction of approximation sch...
In this paper, we relate the framework of mod-φ convergence to the construction of approximation sch...
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...
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
The problem of approximating the distribution of a sum S n = Σ i=1n Y i of n discrete random variabl...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
We overview the results on the topic of compound Poisson approximation to the distribution of a sum ...
We overview the results on the topic of compound Poisson approximation to the distribution of a sum ...
In this paper, we relate the framework of mod-φ convergence to the construction of approximation sch...
In this paper, we relate the framework of mod-φ convergence to the construction of approximation sch...
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...
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
The problem of approximating the distribution of a sum S n = Σ i=1n Y i of n discrete random variabl...