Generalized moving extrapolation of stochastic processes based on the totality of continuous and discrete observations with memory; Journal of Computer and Systems Sciences International; Vol. 39, Iss. 4

Generalized moving extrapolation of stochastic processes based on the totality of continuous and discrete observations with memory; Journal of Computer and Systems Sciences International; Vol. 39, Iss. 4

Bibliografske podrobnosti
Parent link:	Journal of Computer and Systems Sciences International.— , 2000 Vol. 39, Iss. 4.— 2000.— P. 263-284
Glavni avtor:	Dyomin N. S. Nikolas S.
Korporativna značnica:	Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики (ВМ)
Drugi avtorji:	Rozhkova S. V. Svetlana Vladimirovna, Rozhkova O. V.
Izvleček:	The problem of simultaneous moving extrapolation (forecast, prediction) is considered or stochastic processes with continuous time at an arbitrary number of future instants based on the totality of realizations of processes with continuous and discrete time, which depend on both the current and the past values of a nonobserved process. В фонде НТБ ТПУ отсутствует
Jezik:	ruščina
Izdano:	2000
Teme:	труды учёных ТПУ
Format:	Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=601971

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