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Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal.
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Recensione
"I found it a stimulating book. It offers valuable insights on Arnold Zellner's approach to 'good' research, demonstrating how productive and novative research may emerge. Also entertaining were the various anecdotes." - Markus Leippold, University of Ziurich
Descrizione del libro
Written by one of the foremost practitioners and exponents of econometrics in the world, this book describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling, and provides a careful analysis and appreciation of the paradigm shift back to the Bayesian approach to scientific inference.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreCambridge University Press
- Data di pubblicazione2008
- ISBN 10 0521540445
- ISBN 13 9780521540445
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine184
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Statistics, Econometrics and Forecasting.
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540445
ISBN 13: 9780521540445
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Paperback. Condizione: Very Good. Series: The Stone Lectures in Economics 163p blue paperback, appears unused, some sunning to spine, binding tight, text clean and fresh, an excellent copy Language: English. Codice articolo 168580
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Statistics, Econometrics and Forecasting (The Stone Lectures in Economics)
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540445
ISBN 13: 9780521540445
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Statistics, Econometrics and Forecasting
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ISBN 10: 0521540445
ISBN 13: 9780521540445
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Statistics Econometrics Forecasting (The Stone Lectures in Economics)
Editore:
Cambridge University Press, 2008
ISBN 10: 0521540445
ISBN 13: 9780521540445
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Statistics, Econometrics and Forecasting
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Condizione: New. Idioma/Language: Inglés. Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla. Codice articolo 769707
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Statistics, Econometrics and Forecasting (The Stone Lectures in Economics)
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Statistics, Econometrics and Forecasting (The Stone Lectures in Economics)
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Statistics, Econometrics and Forecasting
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Cambridge University Press, 2004
ISBN 10: 0521540445
ISBN 13: 9780521540445
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Statistics, Econometrics and Forecasting
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540445
ISBN 13: 9780521540445
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Paperback / softback
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Statistics, Econometrics and Forecasting (Paperback)
Editore:
Cambridge University Press, Cambridge, 2004
ISBN 10: 0521540445
ISBN 13: 9780521540445
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Paperback. Condizione: new. Paperback. Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal. Written by one of the foremost practitioners and exponents of econometrics in the world, this book describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling, and provides a careful analysis and appreciation of the paradigm shift back to the Bayesian approach to scientific inference. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521540445
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