Анализ МНК-оценок для идентификации разностных уравнений нестационарных временных рядов

Authors

DOI:

https://doi.org/10.17308/sait.2018.3/1230

Keywords:

Parametric identification, LSM estimations of parameters, utoregression, displacement, difference equation, standard deviation errors

Abstract

The aim of the present paper is to investigate the conditions under which it is possible to expect the derivation of acceptable LSM estimates of the parameters of the difference equation from the results of observations of non-stationary time series of its variables. In particular, the problem of identifying thermodynamic processes is being solved. In the paper, a comparative analysis of the displacement of LSM estimators of the parameters of the investigated autoregression equations and standard deviation errors is carried out. Conclusions are made about the possibility of applying direct LSM estimates without a significant loss of their adequacy.

Author Biographies

  • М Г Матвеев, Voronezh State University

    doctor of technical sciences, professor department of programming and information technologies, Voronezh State University.

  • Е А Сирота, Voronezh State University

    candidate of physics-math. scienc-es, assistant professor, the dept. of digital technologies Faculty of Computer Science, Voronezh State University

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Published

2018-09-10

Issue

Section

Mathematical Methods of System Analysis and Management

How to Cite

Анализ МНК-оценок для идентификации разностных уравнений нестационарных временных рядов. (2018). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 3, 51-55. https://doi.org/10.17308/sait.2018.3/1230

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