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Avtomatika i Telemekhanika, 2014, Issue 4, Pages 20–37 (Mi at7529)  

This article is cited in 12 scientific papers (total in 12 papers)

Mathematical programming problems

Using the maximum likelihood method to estimate test complexity levels

A. I. Kibzun, A. O. Inozemtsev

Moscow State Aviation Institute, Moscow, Russia
References:
Abstract: Consideration was given to the problem of estimating the levels of complexity of the test tasks for the remote education system. It was assumed that the random responses of the subjects obey the logistic distribution and the levels of student readiness are not known in advance. An algorithm based on the methods of maximum likelihood and Broyden–Fletcher–Goldfarb–Shanno was proposed to calculate the task complexity. Strict concavity of the logarithmic likelihood function was established, and an example was considered.
Presented by the member of Editorial Board: A. V. Nazin

Received: 14.11.2013
English version:
Automation and Remote Control, 2014, Volume 75, Issue 4, Pages 607–621
DOI: https://doi.org/10.1134/S000511791404002X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. I. Kibzun, A. O. Inozemtsev, “Using the maximum likelihood method to estimate test complexity levels”, Avtomat. i Telemekh., 2014, no. 4, 20–37; Autom. Remote Control, 75:4 (2014), 607–621
Citation in format AMSBIB
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\by A.~I.~Kibzun, A.~O.~Inozemtsev
\paper Using the maximum likelihood method to estimate test complexity levels
\jour Avtomat. i Telemekh.
\yr 2014
\issue 4
\pages 20--37
\mathnet{http://mi.mathnet.ru/at7529}
\transl
\jour Autom. Remote Control
\yr 2014
\vol 75
\issue 4
\pages 607--621
\crossref{https://doi.org/10.1134/S000511791404002X}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000334423100002}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84899505579}
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  • https://www.mathnet.ru/eng/at7529
  • https://www.mathnet.ru/eng/at/y2014/i4/p20
  • This publication is cited in the following 12 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
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    References:56
    First page:31
     
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