Doklady Akademii Nauk SSSR
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Dokl. Akad. Nauk:
Year:
Volume:
Issue:
Page:
Find




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

Doklady Akademii Nauk SSSR, 1979, Volume 245, Number 3, Pages 523–527 (Mi dan42591)  
This article is cited in 1 scientific paper (total in 1 paper)

MATHEMATICS

On large deviations of the process of likelihood ratios for estimating a distribution parameter from independent observations

M. V. Burnashev

Institute for Information Transmission Problems, AS USSR, Moscow
Full-text PDF (537 kB) Citations (1)
Presented: Yu. V. Prokhorov
Received: 22.11.1978
Bibliographic databases:
Document Type: Article
UDC: 519.252
Language: Russian
Citation: M. V. Burnashev, “On large deviations of the process of likelihood ratios for estimating a distribution parameter from independent observations”, Dokl. Akad. Nauk SSSR, 245:3 (1979), 523–527
Citation in format AMSBIB
\Bibitem{Bur79}
\by M.~V.~Burnashev
\paper On large deviations of the process of likelihood ratios for estimating a distribution parameter from independent observations
\jour Dokl. Akad. Nauk SSSR
\yr 1979
\vol 245
\issue 3
\pages 523--527
\mathnet{http://mi.mathnet.ru/dan42591}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=0525778}
\zmath{https://zbmath.org/?q=an:0425.62018}
Linking options:
  • https://www.mathnet.ru/eng/dan42591
  • https://www.mathnet.ru/eng/dan/v245/i3/p523
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:99
    Full-text PDF :35
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024