We construct and investigate consistent kernel-type estimators for the first and second derivatives of a periodic Poisson intensity function when the period is known. We do not assume any particular parametric form for the intensity function. More- over, we consider the situation when only a single realization of the Poisson process is available, and only observed in a bounded interval. We prove that the proposed estimators are consistent when the length of the interval goes to infinity. We also prove that the mean-squared error of the estimators converge to zero when the length of the interval goes to infinity.1991 Mathematics Subject Classification: 60G55, 62G05, 62G20
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A uniform kernel estimator for intensity of a periodic Poisson process with unknowm period is presen...
A uniform kernel estimator for intensity of a periodic Poisson process with unknowm period is presen...
In this paper we survey some results on weak and strong convergence of kernel type estimators for th...
In this paper we prove asymptotic normality of a kernel type estimator for the intensity of a period...
Convergence of MSE (Mean-Squared-Error) of a uniform kernel estimator for intensity of a periodic Po...
Strong convergence of a uniform kernel estimator for intensity of a periodic Poisson process with un...
We construct and investigate a consistent kernel-type nonparametric estimator of the intensity funct...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
An estimator of the intensity in the form of a power function of an inhomogeneous Poisson process is...
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...
This manuscript discusses the strong consistency and the asymptotic distribution of an estimator for...
Abstract. We consider the problem of estimating the intensity func- tion of a cyclic Poisson process...
In this article, we provided a numerical simulation for asymptotic normality of a kernel type estima...
A uniform kernel estimator for intensity of a periodic Poisson process with unknowm period is presen...
A uniform kernel estimator for intensity of a periodic Poisson process with unknowm period is presen...
In this paper we survey some results on weak and strong convergence of kernel type estimators for th...
In this paper we prove asymptotic normality of a kernel type estimator for the intensity of a period...
Convergence of MSE (Mean-Squared-Error) of a uniform kernel estimator for intensity of a periodic Po...
Strong convergence of a uniform kernel estimator for intensity of a periodic Poisson process with un...
We construct and investigate a consistent kernel-type nonparametric estimator of the intensity funct...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
An estimator of the intensity in the form of a power function of an inhomogeneous Poisson process is...
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...
This manuscript discusses the strong consistency and the asymptotic distribution of an estimator for...
Abstract. We consider the problem of estimating the intensity func- tion of a cyclic Poisson process...
In this article, we provided a numerical simulation for asymptotic normality of a kernel type estima...