Avtomatika i Telemekhanika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Avtomat. i Telemekh.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Avtomatika i Telemekhanika, 1991, Issue 11, Pages 71–80 (Mi at4309)  
Stochastic Systems

Joint estimation of the parameters of objects and the statistical characteristics of non-Gaussian disturbances

N. A. Kisenkova

Moscow Power Engineering Institute
Full-text PDF (1903 kB)

Received: 20.03.1991
Bibliographic databases:
Document Type: Article
UDC: 519.233.2
MSC: 93E10
Language: Russian
Citation: N. A. Kisenkova, “Joint estimation of the parameters of objects and the statistical characteristics of non-Gaussian disturbances”, Avtomat. i Telemekh., 1991, no. 11, 71–80; Autom. Remote Control, 52:11 (1991), 1539–1547
Citation in format AMSBIB
\Bibitem{Kis91}
\by N.~A.~Kisenkova
\paper Joint estimation of the parameters of objects and the statistical characteristics of non-Gaussian disturbances
\jour Avtomat. i Telemekh.
\yr 1991
\issue 11
\pages 71--80
\mathnet{http://mi.mathnet.ru/at4309}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1156793}
\zmath{https://zbmath.org/?q=an:0789.62040}
\transl
\jour Autom. Remote Control
\yr 1991
\vol 52
\issue 11
\pages 1539--1547
Linking options:
  • https://www.mathnet.ru/eng/at4309
  • https://www.mathnet.ru/eng/at/y1991/i11/p71
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Avtomatika i Telemekhanika
    Statistics & downloads:
    Abstract page:134
    Full-text PDF :63
    First page:2
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024