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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems: A Systems Approach with Economic and Social Applications: ... Notes in Economics and Mathematical Systems) - Softcover
Inhaltsangabe
The literature on systems seems to have been growing almost expo nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob servability and controllability; the mathematical formulations of sta bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi neering and social sciences and econometrics, and to contribute to either side.
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The literature on systems seems to have been growing almost expo nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob servability and controllability; the mathematical formulations of sta bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi neering and social sciences and econometrics, and to contribute to either side.
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- VerlagSpringer-Verlag
- Erscheinungsdatum1985
- ISBN 10 3540156542
- ISBN 13 9783540156543
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten200
- Kontakt zum HerstellerNicht verfügbar
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems. A Systems Approach with Economic and Social Applications. (=Lecture Notes in Economic and Mathematical Systems; 246).
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Springer Berlin, 1985
ISBN 10: 3540156542
ISBN 13: 9783540156543
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Paperback/ broschiert. Zustand: Wie neu. 177 S. Mathematikwissenschaft Naturwissenschaft Mathematics Natural Science stochastische Systeme Stamped edges. Befriedigender Zustand With figures. Ex-Library. Brownish paper. ha1087758 Sprache: Englisch Gewicht in Gramm: 550. Bestandsnummer des Verkäufers 403417
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems : A Systems Approach with Economic and Social Applications
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ISBN 10: 3540156542
ISBN 13: 9783540156543
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems
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ISBN 13: 9783540156543
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The literature on systems seems to have been growing almost expo nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob servability and controllability; the mathematical formulations of sta bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi neering and social sciences and econometrics, and to contribute to either side.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch. Bestandsnummer des Verkäufers 9783540156543
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems : A Systems Approach with Economic and Social Applications
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The literature on systems seems to have been growing almost expo nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob servability and controllability; the mathematical formulations of sta bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi neering and social sciences and econometrics, and to contribute to either side. Bestandsnummer des Verkäufers 9783540156543
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems: A Systems Approach with Economic and Social Applications ... in Economics and Mathematical Systems, 246)
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems: A Systems Approach with Economic and Social Applications (Lecture Notes in Economics and Mathematical Systems)
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Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems
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