L. A. Kuznetsov, A. M. Korneev, M. G. Zhuravlyova, “Identification of statistical process models under incomplete information”, Probl. Upr., 2007, no. 1, 46

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Problemy Upravleniya, 2007, Issue 1, Pages 46–50 (Mi pu212)

This article is cited in 1 scientific paper (total in 1 paper)

Administration of technological processes

Identification of statistical process models under incomplete information

L. A. Kuznetsov, A. M. Korneev, M. G. Zhuravlyova

Lipetsk State Technical University

Full-text PDF (265 kB) Citations (1)

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Abstract: The possibility of EM algorithm strategy application for building multi ple regression models under incomplete process data is examined. The models based on complete data and the data were the missing points were replaced with unconditional and conditional means are compared. An enhanced model describing the relationship between a mechanical characteristic of flat and a set of process parameters is obtained with the help of EM algorithm.

Document Type: Article

UDC: 681.51.015

Language: Russian

Citation: L. A. Kuznetsov, A. M. Korneev, M. G. Zhuravlyova, “Identification of statistical process models under incomplete information”, Probl. Upr., 2007, no. 1, 46–50

Citation in format AMSBIB

\Bibitem{KuzKorZhu07}

\by L.~A.~Kuznetsov, A.~M.~Korneev, M.~G.~Zhuravlyova

\paper Identification of statistical process models under incomplete information

\jour Probl. Upr.

\yr 2007

\issue 1

\pages 46--50

\mathnet{http://mi.mathnet.ru/pu212}

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https://www.mathnet.ru/eng/pu212

https://www.mathnet.ru/eng/pu/v1/p46

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

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Abstract page:	140
Full-text PDF :	72
References:	24

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