Mean-Square Convergence of Recursive Kernel Estimators of Non-Homogeneous Poisson Process Intensity Function and its Derivative; Computation, Automation, Information Technologies and Safety Systems in Nuclear Industry; Vol. 1084 : Physical-Technical Problems of Nuclear Science, Energy Generation, and Power Industry (PTPAI -2014)

Mean-Square Convergence of Recursive Kernel Estimators of Non-Homogeneous Poisson Process Intensity Function and its Derivative; Computation, Automation, Information Technologies and Safety Systems in Nuclear Industry; Vol. 1084 : Physical-Technical Problems of Nuclear Science, Energy Generation, and Power Industry (PTPAI -2014)

Бібліографічні деталі
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]
Автор:	Kitaeva A. V. Anna Vladimirovna
Співавтор:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт социально-гуманитарных технологий (ИСГТ) Кафедра инженерного предпринимательства (ИП)
Інші автори:	Kolupaev M. V.
Резюме:	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
Мова:	Англійська
Опубліковано:	2015
Серія:	Radiation Technologies in Medicine
Предмети:	электронный ресурс труды учёных ТПУ интенсивность ядерные оценки пауссоновский процесс
Онлайн доступ:	http://dx.doi.org/10.4028/www.scientific.net/AMR.1084.684
Формат:	Електронний ресурс Частина з книги
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=640516

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