Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://cyberleninka....arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
http://cyberleninka.ru/article...
Article . 2011
Data sources: CyberLeninka - Russian open access scientific library
Claim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Непараметрическая регрессия в условиях частичных сведений о виде восстанавливаемых закономерностей

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:Сибирский государственный аэрокосмический университет имени академика М.Ф. РешетневаJournal:Вестник Сибирского государственного аэрокосмического университета им. академика М.Ф. Решетнева (issn: 1816-9724, Copyright policy )

Непараметрическая регрессия в условиях частичных сведений о виде восстанавливаемых закономерностей

Abstract

Предлагается непараметрическая модель стохастической зависимости, которая обеспечивает учёт априорных сведений о виде восстанавливаемых закономерностей. Исследуются её асимптотические свойства, проводится анализ результатов вычислительных экспериментов

The nonparametric model of stochastic dependence which provides for registration of a priori data on a mode of restored legitimacies is offered. Its asymptotic properties are researched.

Keywords

519.7, НЕПАРАМЕТРИЧЕСКАЯ РЕГРЕССИЯ, СТОХАСТИЧЕСКИЕ ЗАВИСИМОСТИ, АПРИОРНЫЕ СВЕДЕНИЯ, АСИМПТОТИЧЕСКИЕ СВОЙСТВА

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average