Standard

Parameter estimation in linear regression under arbitrary interference. / Granichin, O. N.

в: Avtomatika i Telemekhanika, № 1, 01.01.2002, стр. 30-41.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Granichin, ON 2002, 'Parameter estimation in linear regression under arbitrary interference', Avtomatika i Telemekhanika, № 1, стр. 30-41.

APA

Granichin, O. N. (2002). Parameter estimation in linear regression under arbitrary interference. Avtomatika i Telemekhanika, (1), 30-41.

Vancouver

Granichin ON. Parameter estimation in linear regression under arbitrary interference. Avtomatika i Telemekhanika. 2002 Янв. 1;(1):30-41.

Author

Granichin, O. N. / Parameter estimation in linear regression under arbitrary interference. в: Avtomatika i Telemekhanika. 2002 ; № 1. стр. 30-41.

BibTeX

@article{98b5f0aa82ec4602bccf6979ba850e15,
title = "Parameter estimation in linear regression under arbitrary interference",
abstract = "The problem of parameters estimation is considered for linear regression with arbitrary interference. It is assumed that interference average value may be unknown and differ from zero. The interference may be a realization of correlated random process as well or may be given by an unknown but limited deterministic function.",
author = "Granichin, {O. N.}",
year = "2002",
month = jan,
day = "1",
language = "русский",
pages = "30--41",
journal = "АВТОМАТИКА И ТЕЛЕМЕХАНИКА",
issn = "0005-2310",
publisher = "Издательство {"}Наука{"}",
number = "1",

}

RIS

TY - JOUR

T1 - Parameter estimation in linear regression under arbitrary interference

AU - Granichin, O. N.

PY - 2002/1/1

Y1 - 2002/1/1

N2 - The problem of parameters estimation is considered for linear regression with arbitrary interference. It is assumed that interference average value may be unknown and differ from zero. The interference may be a realization of correlated random process as well or may be given by an unknown but limited deterministic function.

AB - The problem of parameters estimation is considered for linear regression with arbitrary interference. It is assumed that interference average value may be unknown and differ from zero. The interference may be a realization of correlated random process as well or may be given by an unknown but limited deterministic function.

UR - http://www.scopus.com/inward/record.url?scp=0036034099&partnerID=8YFLogxK

M3 - статья

AN - SCOPUS:0036034099

SP - 30

EP - 41

JO - АВТОМАТИКА И ТЕЛЕМЕХАНИКА

JF - АВТОМАТИКА И ТЕЛЕМЕХАНИКА

SN - 0005-2310

IS - 1

ER -

ID: 32481036