Problemy Peredachi Informatsii
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Probl. Peredachi Inf.:
Year:
Volume:
Issue:
Page:
Find






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


Problemy Peredachi Informatsii, 1978, Volume 14, Issue 3, Pages 65–72 (Mi ppi1547)  

Methods of Signal Processing

Asymptotically Efficient Estimation of Nonlinear Functionals

B. Ya. Levit
Abstract: It is shown that the Rosenblatt–Bhattacharyya method for setting up estimates of an unknown density and its derivatives leads to asymptotically efficient nonparametric estimates in a class of smooth nonlinear functionals of an unknown distribution.
Received: 10.06.1976
Bibliographic databases:
Document Type: Article
UDC: 621.391.1:519.27
Language: Russian
Citation: B. Ya. Levit, “Asymptotically Efficient Estimation of Nonlinear Functionals”, Probl. Peredachi Inf., 14:3 (1978), 65–72; Problems Inform. Transmission, 14:3 (1978), 204–209
Citation in format AMSBIB
\Bibitem{Lev78}
\by B.~Ya.~Levit
\paper Asymptotically Efficient Estimation of Nonlinear Functionals
\jour Probl. Peredachi Inf.
\yr 1978
\vol 14
\issue 3
\pages 65--72
\mathnet{http://mi.mathnet.ru/ppi1547}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=533450}
\transl
\jour Problems Inform. Transmission
\yr 1978
\vol 14
\issue 3
\pages 204--209
Linking options:
  • https://www.mathnet.ru/eng/ppi1547
  • https://www.mathnet.ru/eng/ppi/v14/i3/p65
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы передачи информации Problems of Information Transmission
    Statistics & downloads:
    Abstract page:338
    Full-text PDF :190
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024