Zapiski Nauchnykh Seminarov LOMI
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Zap. Nauchn. Sem. POMI:
Year:
Volume:
Issue:
Page:
Find




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

Zapiski Nauchnykh Seminarov LOMI, 1987, Volume 158, Pages 167–168 (Mi znsl5387)  
Monotonity of the mean distance for empirical Gaussian samples

V. N. Sudakov
Full-text PDF (149 kB)
Abstract: The monotonicity is proved of the mean distance in the sense of Kantorovich for two repeatedly independently obtained dependent Gaussian samples with respect to the natural order in the space of Gaussian centered measures in a finite-dimensional coordinate space.
Bibliographic databases:
Document Type: Article
UDC: 519.2
Language: Russian
Citation: V. N. Sudakov, “Monotonity of the mean distance for empirical Gaussian samples”, Problems of the theory of probability distributions. Part X, Zap. Nauchn. Sem. LOMI, 158, "Nauka", Leningrad. Otdel., Leningrad, 1987, 167–168
Citation in format AMSBIB
\Bibitem{Sud87}
\by V.~N.~Sudakov
\paper Monotonity of the mean distance for empirical Gaussian samples
\inbook Problems of the theory of probability distributions. Part~X
\serial Zap. Nauchn. Sem. LOMI
\yr 1987
\vol 158
\pages 167--168
\publ "Nauka", Leningrad. Otdel.
\publaddr Leningrad
\mathnet{http://mi.mathnet.ru/znsl5387}
\zmath{https://zbmath.org/?q=an:0678.62056}
Linking options:
  • https://www.mathnet.ru/eng/znsl5387
  • https://www.mathnet.ru/eng/znsl/v158/p167
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Записки научных семинаров ПОМИ
    Statistics & downloads:
    Abstract page:127
    Full-text PDF :36
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024