Informatika i Ee Primeneniya [Informatics and its Applications]
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


Inform. Primen.:
Year:
Volume:
Issue:
Page:
Find




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

Informatika i Ee Primeneniya [Informatics and its Applications], 2013, Volume 7, Issue 2, Pages 69–74 (Mi ia262)  
This article is cited in 1 scientific paper (total in 1 paper)

Asymptotic normality of the estimation of the multivariate logistic regression

A. Yu. Khaplanov

M. V. Lomonosov Moscow State University
Full-text PDF (168 kB) Citations (1)
References:
PDF
HTML
Abstract: Estimation of characteristics of the multivariate logistic regression with a diverging number of covariates has been made. The convergence rate for estimate of characteristics of the multivariate logistic regression coefficients has been obtained. Asymptotic normality of its rejection has been proved.
Keywords: logistic regression; convergence rate; asymptotic normality; high-dimensional covariates.
Document Type: Article
Language: Russian
Citation: A. Yu. Khaplanov, “Asymptotic normality of the estimation of the multivariate logistic regression”, Inform. Primen., 7:2 (2013), 69–74
Citation in format AMSBIB
\Bibitem{Kha13}
\by A.~Yu.~Khaplanov
\paper Asymptotic normality of the estimation of the multivariate logistic regression
\jour Inform. Primen.
\yr 2013
\vol 7
\issue 2
\pages 69--74
\mathnet{http://mi.mathnet.ru/ia262}
Linking options:
  • https://www.mathnet.ru/eng/ia262
  • https://www.mathnet.ru/eng/ia/v7/i2/p69
    • 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
    		Информатика и её применения
    Statistics & downloads:
    Abstract page:382
    Full-text PDF :115
    References:43
    First page:2
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024