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Avtomatika i Telemekhanika, 1982, Issue 2, Pages 29–38
(Mi at5431)
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This article is cited in 3 scientific papers (total in 3 papers)
Stochastic Systems
Identification by the method of least squares of autoregression equation parameters with additive measurement errors
A. I. Zhdanov, O. A. Katsyuba Kuibishev
Abstract:
The problem of nonlinear estimation of autoregression equation parameters is solved by the method of weighted least squares in face of additive nonstationary measurement errors. Conventional estimates of the least squares are found to be inconsistent (even in the weak sense) under these conditions. The proposed nonlinear estimates of the least squares are found to be strongly consistent under the same conditions.
Received: 16.03.1981
Citation:
A. I. Zhdanov, O. A. Katsyuba, “Identification by the method of least squares of autoregression equation parameters with additive measurement errors”, Avtomat. i Telemekh., 1982, no. 2, 29–38; Autom. Remote Control, 43:2 (1982), 158–166
Linking options:
https://www.mathnet.ru/eng/at5431 https://www.mathnet.ru/eng/at/y1982/i2/p29
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Abstract page: | 246 | Full-text PDF : | 124 | First page: | 1 |
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