(2002). Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R². The Egyptian Statistical Journal, 46(2), 167-191. doi: 10.21608/esju.2002.313797
. "Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R²". The Egyptian Statistical Journal, 46, 2, 2002, 167-191. doi: 10.21608/esju.2002.313797
(2002). 'Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R²', The Egyptian Statistical Journal, 46(2), pp. 167-191. doi: 10.21608/esju.2002.313797
Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R². The Egyptian Statistical Journal, 2002; 46(2): 167-191. doi: 10.21608/esju.2002.313797
Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R²
The intensity function of the non-homogeneous Poisson process, that is defined on R² will be estimated by using kernel method, and it will be searched for necessary and sufficient conditions to have a uniform convergence in probability, almost sure, and almost completely sure.