Some observations on instrumental variable methods of time-series analysis
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Publication:4088700
DOI10.1080/00207177608922186zbMath0324.93038OpenAlexW2043236033MaRDI QIDQ4088700
No author found.
Publication date: 1976
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207177608922186
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) System identification (93B30) Estimation and detection in stochastic control theory (93E10) General systems (93A10)
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- System identification. A survey
- Self-tuning control of a fixed-bed chemical reactor system
- Strongly consistent parameter estimation by the introduction of strong instrumental variables
- On the Maximum Likelihood Method of Identification
- A bootstrap method for the statistical estimation of model parameters†