It is known that in subcritical branching process with stationary immigration the average population size for the first n generations and the ratio of the reproduction process to the total progeny are strongly consistent estimators for the mean of the stationary distribution and for the offspring mean, respectively. We prove that the same estimators remain strongly consistent, if we have only partial observations of the population and the number of immigrants. We also show that the rates of convergence of the estimators to the true values of the parameters are the same as in the case of complete observation
AbstractIn applications of branching processes, usually it is hard to obtain samples of a large size...
Summary. In this paper we are interested in consistent estimators for (functions of the) pa-rameters...
AbstractA limit theorem is developed for sample partial autocorrelations, when the vector {N12(R(k)−...
It is known that in subcritical branching process with stationary immigration the average population...
AbstractConsider a Galton–Watson process with immigration. The limiting distributions of the nonsequ...
Controlled branching processes (CBP) with a random control function provide a useful way to model ge...
AbstractFor the problem of estimating the offspring mean m of a branching process with immigration, ...
AbstractControlled branching processes (CBP) with a random control function provide a useful way to ...
In this paper we consider bootstrap approximation to the sampling distribution of an estimator of th...
Consider a Galton-Watson process with immigration. The limiting distributions of the nonsequential e...
AbstractIt is shown that for a data set from a branching process with immigration, where the offspri...
It is shown that for a data set from a branching process with immigration, where the offspring distr...
AbstractIn this paper we consider bootstrap approximation to the sampling distribution of an estimat...
We consider the small value probability of supercritical continuous state branching processes with i...
We consider a single-type supercritical or near-critical size-dependent branching process {Nn}n such...
AbstractIn applications of branching processes, usually it is hard to obtain samples of a large size...
Summary. In this paper we are interested in consistent estimators for (functions of the) pa-rameters...
AbstractA limit theorem is developed for sample partial autocorrelations, when the vector {N12(R(k)−...
It is known that in subcritical branching process with stationary immigration the average population...
AbstractConsider a Galton–Watson process with immigration. The limiting distributions of the nonsequ...
Controlled branching processes (CBP) with a random control function provide a useful way to model ge...
AbstractFor the problem of estimating the offspring mean m of a branching process with immigration, ...
AbstractControlled branching processes (CBP) with a random control function provide a useful way to ...
In this paper we consider bootstrap approximation to the sampling distribution of an estimator of th...
Consider a Galton-Watson process with immigration. The limiting distributions of the nonsequential e...
AbstractIt is shown that for a data set from a branching process with immigration, where the offspri...
It is shown that for a data set from a branching process with immigration, where the offspring distr...
AbstractIn this paper we consider bootstrap approximation to the sampling distribution of an estimat...
We consider the small value probability of supercritical continuous state branching processes with i...
We consider a single-type supercritical or near-critical size-dependent branching process {Nn}n such...
AbstractIn applications of branching processes, usually it is hard to obtain samples of a large size...
Summary. In this paper we are interested in consistent estimators for (functions of the) pa-rameters...
AbstractA limit theorem is developed for sample partial autocorrelations, when the vector {N12(R(k)−...