Fundamentalnaya i Prikladnaya Matematika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Journal history

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Fundam. Prikl. Mat.:
Year:
Volume:
Issue:
Page:
Find




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

Fundamentalnaya i Prikladnaya Matematika, 2000, Volume 6, Issue 1, Pages 63–71 (Mi fpm472)  
On the approximate confidence intervals for the unknown mean of stationary associated random field

M. A. Vronskii

M. V. Lomonosov Moscow State University
Full-text PDF (303 kB)
Abstract: We compare two families of random normalizations in the CLT, proposed in [2] for strictly stationary associated random fields. We show that one family is preferable for weakly dependent processes.
Received: 01.04.1998
Bibliographic databases:
UDC: 519.21
Language: Russian
Citation: M. A. Vronskii, “On the approximate confidence intervals for the unknown mean of stationary associated random field”, Fundam. Prikl. Mat., 6:1 (2000), 63–71
Citation in format AMSBIB
\Bibitem{Vro00}
\by M.~A.~Vronskii
\paper On the~approximate confidence intervals for the~unknown mean of stationary associated random field
\jour Fundam. Prikl. Mat.
\yr 2000
\vol 6
\issue 1
\pages 63--71
\mathnet{http://mi.mathnet.ru/fpm472}
\mathscinet{https://mathscinet.ams.org/mathscinet-getitem?mr=1798164}
\zmath{https://zbmath.org/?q=an:0990.62086}
Linking options:
  • https://www.mathnet.ru/eng/fpm472
  • https://www.mathnet.ru/eng/fpm/v6/i1/p63
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Фундаментальная и прикладная математика
    Statistics & downloads:
    Abstract page:240
    Full-text PDF :127
    References:2
    First page:1
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2026