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. 

Opis bibliograficzny

Główni autorzy:	Zakia Kalantan, Anga Elsayigh, Tarek Amira
Format:	Artigo
Język:	Inglês
Wydane:	Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR) 2002-12-01
Seria:	The Egyptian Statistical Journal
Hasła przedmiotowe:	Intensity Function Non Homogeneous Poisson Process Kernel Method Uniform Convergence in Probability Almost Sure Convergence
Dostęp online:	https://esju.journals.ekb.eg/article_313797_c9d0d37f3dc2770f0fb21d89a74ac784.pdf
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