Mean-Square Convergence of Recursive Kernel Estimators of Non-Homogeneous Poisson Process Intensity Function and its Derivative

Mean-Square Convergence of Recursive Kernel Estimators of Non-Homogeneous Poisson Process Intensity Function and its Derivative

Bibliographic Details
Parent link:Computation, Automation, Information Technologies and Safety Systems in Nuclear Industry: Scientific Journal
Vol. 1084 : Physical-Technical Problems of Nuclear Science, Energy Generation, and Power Industry (PTPAI -2014).— 2015.— [P. 684-688]
Main Author: Kitaeva A. V. Anna Vladimirovna
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт социально-гуманитарных технологий (ИСГТ) Кафедра инженерного предпринимательства (ИП)
Other Authors: Kolupaev M. V.
Summary:Title screen
The structure of the estimators is similar to the recursive kernel estimators of a density function and its derivative. The estimators have been constructed using a single realization of Poisson process on a fixed time interval. Mean-square convergence has been proved in a scheme of series. Simulation studies have been carried out to illustrate the convergence.
Режим доступа: по договору с организацией-держателем ресурса
Published: 2015
Series:Radiation Technologies in Medicine
Subjects:
электронный ресурс
труды учёных ТПУ
интенсивность
ядерные оценки
пауссоновский процесс
Online Access:http://dx.doi.org/10.4028/www.scientific.net/AMR.1084.684
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=640516

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