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 | ||||
Article 5, Volume 46, Issue 2, December 2002, Page 167-191 PDF (18.22 MB) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/esju.2002.313797 | ||||
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Authors | ||||
Anga M. Elsayigh* 1; Tarek A. Amira* 2; Zakia E. Kalantan* | ||||
1Dep.of Statistics, Faculty of Science, King Abdul Aziz University, Saudia | ||||
2Dep. of Statistics, Faculty o Economics &Political Science, Cairo University | ||||
Abstract | ||||
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. | ||||
Keywords | ||||
Intensity Function; Non; Homogeneous Poisson Process; Kernel Method; Uniform Convergence in Probability; Almost Sure Convergence | ||||
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