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- 2011935045 contributor B12420628.
- 2011935045 created "c2011.".
- 2011935045 date "2011".
- 2011935045 date "c2011.".
- 2011935045 dateCopyrighted "c2011.".
- 2011935045 description "1. Introduction -- Pt. I. Recursive estimation of parameters in linear regression models -- 2. Recursive estimation: a simple tutorial introduction -- 3. Recursive least squares estimation -- 4. Recursive estimation of time variable parameters in regression models -- 5. Unobserved component models -- Pt. II. Recursive estimation of parameters in transfer function models -- 6. Transfer function models and the limitations of recursive least squares -- 7. Optimal identification and estimation of discrete-time transfer function models -- 8. Optimal identification and estimation of continuous-time transfer function models -- 9. Identification of transfer function models in closed-loop -- 10. Real-time recursive parameter estimation -- Pt. III. Other topics -- 11. State-dependent parameter (SDP) estimation -- 12. Data-based mechanistic (DBM) modelling -- Epilogue -- A. The K.F. Gauss derivation of recursive least squares -- B. Basic mathematical and statistical background -- C. Stochastic approximation -- D. Deterministic regularization and stochastic fixed interval smoothing -- E. The instantaneous cost function associated with the recursive least squares algorithm -- F. Maximum likelihood derivation of the refined instrumental variable algorithm -- G. The CAPTAIN toolbox for Matlab: an overview.".
- 2011935045 description "Includes bibliographical references (p. 477-497) and index.".
- 2011935045 extent "xvii, 504 p. :".
- 2011935045 identifier "3642219802".
- 2011935045 identifier "9783642219801".
- 2011935045 identifier 2011935045-d.html.
- 2011935045 identifier 2011935045-t.html.
- 2011935045 issued "2011".
- 2011935045 issued "c2011.".
- 2011935045 language "eng".
- 2011935045 publisher "Heidelberg ; New York : Springer-Verlag,".
- 2011935045 subject "519.5/44 19".
- 2011935045 subject "Estimation theory.".
- 2011935045 subject "QA276.8 .Y68 2011".
- 2011935045 subject "Time-series analysis.".
- 2011935045 tableOfContents "1. Introduction -- Pt. I. Recursive estimation of parameters in linear regression models -- 2. Recursive estimation: a simple tutorial introduction -- 3. Recursive least squares estimation -- 4. Recursive estimation of time variable parameters in regression models -- 5. Unobserved component models -- Pt. II. Recursive estimation of parameters in transfer function models -- 6. Transfer function models and the limitations of recursive least squares -- 7. Optimal identification and estimation of discrete-time transfer function models -- 8. Optimal identification and estimation of continuous-time transfer function models -- 9. Identification of transfer function models in closed-loop -- 10. Real-time recursive parameter estimation -- Pt. III. Other topics -- 11. State-dependent parameter (SDP) estimation -- 12. Data-based mechanistic (DBM) modelling -- Epilogue -- A. The K.F. Gauss derivation of recursive least squares -- B. Basic mathematical and statistical background -- C. Stochastic approximation -- D. Deterministic regularization and stochastic fixed interval smoothing -- E. The instantaneous cost function associated with the recursive least squares algorithm -- F. Maximum likelihood derivation of the refined instrumental variable algorithm -- G. The CAPTAIN toolbox for Matlab: an overview.".
- 2011935045 title "Recursive estimation and time-series analysis : an introduction for the student and practitioner / Peter Young.".
- 2011935045 type "text".