M-estimators and gnostical estimators for identification of a regression model
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Publication:750398
DOI10.1016/0005-1098(90)90033-EzbMath0713.93061OpenAlexW2170715308MaRDI QIDQ750398
Publication date: 1990
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(90)90033-e
disturbance rejectionrobustnessM-estimatorsdiscrete time systemsleast-squares estimationregression modelgnostical estimators
Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
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Cites Work
- A new theoretical and algorithmical basis for estimation, identification and control
- Robust identification
- Asymptotic behavior of M-estimators for the linear model
- Minimax Aspects of Bounded-Influence Regression
- Asymptotic behavior of general M-estimates for regression and scale with random carriers
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
- Robust Estimation of a Location Parameter
- Robust Estimates of Location: Survey and Advances
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