An estimator of the intensity in the form of a power function of an inhomogeneous Poisson process is constructed and investigated. It is assumed that only a single realization of the Poisson process is observed in a bounded window. We prove that the proposed estimator is consistent when the size of the window indefinitely expands. The asymptotic bias, variance and the mean- squared error of the proposed estimator are computed. Asymptotic normality of the estimator is also established
Convergence of MSE (Mean-Squared-Error) of a uniform kernel estimator for intensity of a periodic Po...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider the problem of estimating the intensity function of a cyclic Poisson point process. We s...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
In this article, we provided a numerical simulation for asymptotic normality of a kernel type estima...
We construct and investigate a consistent kernel-type nonparametric estimator of the global intensit...
We construct and investigate a consistent kernel-type nonparametric estimator of the global intensit...
We construct and investigate a consistent kernel-type nonparametric estimator of the intensity funct...
In this paper we prove asymptotic normality of a kernel type estimator for the intensity of a period...
Motivated by its vast applications, we investigate ways to estimate the intensity of a Poisson proce...
This manuscript discusses the strong consistency and the asymptotic distribution of an estimator for...
From the previous research, a kernel-type estimator of the intensity ofthe cyclic Poisson process wi...
We construct and investigate consistent kernel-type estimators for the first and second derivatives o...
We consider the problem of parameter estimation by the observations of inhomogeneous Poisson process...
Abstract. We consider the problem of estimating the intensity func- tion of a cyclic Poisson process...
Convergence of MSE (Mean-Squared-Error) of a uniform kernel estimator for intensity of a periodic Po...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider the problem of estimating the intensity function of a cyclic Poisson point process. We s...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
In this article, we provided a numerical simulation for asymptotic normality of a kernel type estima...
We construct and investigate a consistent kernel-type nonparametric estimator of the global intensit...
We construct and investigate a consistent kernel-type nonparametric estimator of the global intensit...
We construct and investigate a consistent kernel-type nonparametric estimator of the intensity funct...
In this paper we prove asymptotic normality of a kernel type estimator for the intensity of a period...
Motivated by its vast applications, we investigate ways to estimate the intensity of a Poisson proce...
This manuscript discusses the strong consistency and the asymptotic distribution of an estimator for...
From the previous research, a kernel-type estimator of the intensity ofthe cyclic Poisson process wi...
We construct and investigate consistent kernel-type estimators for the first and second derivatives o...
We consider the problem of parameter estimation by the observations of inhomogeneous Poisson process...
Abstract. We consider the problem of estimating the intensity func- tion of a cyclic Poisson process...
Convergence of MSE (Mean-Squared-Error) of a uniform kernel estimator for intensity of a periodic Po...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider the problem of estimating the intensity function of a cyclic Poisson point process. We s...