Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R²
Elsayigh, A., Amira, T., Kalantan, Z. (2002). Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R². EKB Journal Management System, 46(2), 167-191. doi: 10.21608/esju.2002.313797
Anga M. Elsayigh; Tarek A. Amira; Zakia E. Kalantan. "Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R²". EKB Journal Management System, 46, 2, 2002, 167-191. doi: 10.21608/esju.2002.313797
Elsayigh, A., Amira, T., Kalantan, Z. (2002). 'Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R²', EKB Journal Management System, 46(2), pp. 167-191. doi: 10.21608/esju.2002.313797
Elsayigh, A., Amira, T., Kalantan, Z. Necessary and Sufficient Conditions for Stochastic Convergence of the Kernel Estimation of the Intensity Function of Non-Homogeneous Poisson Process in R². EKB Journal Management System, 2002; 46(2): 167-191. doi: 10.21608/esju.2002.313797