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  • 1
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almafu_BV011167375
    Format: XV, 668 S. : graph. Darst.
    Edition: 1. publ.
    ISBN: 0-521-41146-7 , 0-521-42308-2
    Series Statement: Themes in modern econometrics
    Uniform Title: Séries temporelles et modèles dynamiques
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Zeitreihe ; Dynamisches Modell ; Zeitreihenanalyse ; Ökonometrie ; Saisonbereinigungsverfahren ; Kalman-Filter ; Mittelwert
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_883354098
    Format: 1 Online-Ressource (xv, 668 pages) , digital, PDF file(s)
    ISBN: 9780511628597
    Series Statement: Themes in modern econometrics
    Uniform Title: Séries temporelles et modèles dynamiques
    Content: In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They have succeeded in synthesising in an organised and integrated way a broad and diverse literature. While the book does not assume a deep knowledge of economics, one of its most attractive features is the close attention it pays to economic models and phenomena throughout. The coverage represents a major reference tool for graduate students, researchers and applied economists. The book is divided into four sections. Section one gives a detailed treatment of classical seasonal adjustment or smoothing methods. Section two provides a thorough coverage of various mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks, multipliers, cointegration and fractionally integrated models. The final section describes the main contribution of filtering and smoothing theory to time series econometric problems
    Content: Ch. 1. Introduction -- Ch. 2. Linear Regression for Seasonal Adjustment -- Ch. 3. Moving Averages for Seasonal Adjustment -- Ch. 4. Exponential Smoothing Methods -- Ch. 5. Some Results on the Univariate Processes -- Ch. 6. The Box and Jenkins Method for Forecasting -- Ch. 7. Multivariate Time Series -- Ch. 8. Time-series Representations -- Ch. 9. Estimation and Testing (Stationary Case) -- Ch. 10. Causality, Exogeneity, and Shocks -- Ch. 11. Trend Components -- Ch. 12. Expectations -- Ch. 13. Specification Analysis -- Ch. 14. Statistical Properties of Nonstationary Processes -- Ch. 15. State-space Models and the Kalman Filter -- Ch. 16. Applications of the State-space Model
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9780521411462
    Additional Edition: ISBN 9780521423083
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780521411462
    Language: English
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9947414265302882
    Format: 1 online resource (xv, 668 pages) : , digital, PDF file(s).
    ISBN: 9780511628597 (ebook)
    Series Statement: Themes in modern econometrics
    Uniform Title: Séries temporelles et modèles dynamiques.
    Content: In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They have succeeded in synthesising in an organised and integrated way a broad and diverse literature. While the book does not assume a deep knowledge of economics, one of its most attractive features is the close attention it pays to economic models and phenomena throughout. The coverage represents a major reference tool for graduate students, researchers and applied economists. The book is divided into four sections. Section one gives a detailed treatment of classical seasonal adjustment or smoothing methods. Section two provides a thorough coverage of various mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks, multipliers, cointegration and fractionally integrated models. The final section describes the main contribution of filtering and smoothing theory to time series econometric problems.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Ch. 1. Introduction -- Ch. 2. Linear Regression for Seasonal Adjustment -- Ch. 3. Moving Averages for Seasonal Adjustment -- Ch. 4. Exponential Smoothing Methods -- Ch. 5. Some Results on the Univariate Processes -- Ch. 6. The Box and Jenkins Method for Forecasting -- Ch. 7. Multivariate Time Series -- Ch. 8. Time-series Representations -- Ch. 9. Estimation and Testing (Stationary Case) -- Ch. 10. Causality, Exogeneity, and Shocks -- Ch. 11. Trend Components -- Ch. 12. Expectations -- Ch. 13. Specification Analysis -- Ch. 14. Statistical Properties of Nonstationary Processes -- Ch. 15. State-space Models and the Kalman Filter -- Ch. 16. Applications of the State-space Model.
    Additional Edition: Print version: ISBN 9780521411462
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Book
    Book
    Cambridge :Cambridge Univ. Press,
    UID:
    almahu_BV024992055
    Format: XV, 668 S.
    ISBN: 0-521-41146-7 , 0-521-42308-2
    Series Statement: Themes in modern econometrics
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Zeitreihe ; Dynamisches Modell ; Zeitreihenanalyse ; Ökonometrie ; Saisonbereinigungsverfahren ; Kalman-Filter ; Mittelwert
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    UID:
    almafu_9960119692602883
    Format: 1 online resource (xv, 668 pages) : , digital, PDF file(s).
    ISBN: 0-511-87969-5 , 0-511-62859-5
    Series Statement: Themes in modern econometrics
    Uniform Title: Séries temporelles et modèles dynamiques.
    Content: In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They have succeeded in synthesising in an organised and integrated way a broad and diverse literature. While the book does not assume a deep knowledge of economics, one of its most attractive features is the close attention it pays to economic models and phenomena throughout. The coverage represents a major reference tool for graduate students, researchers and applied economists. The book is divided into four sections. Section one gives a detailed treatment of classical seasonal adjustment or smoothing methods. Section two provides a thorough coverage of various mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks, multipliers, cointegration and fractionally integrated models. The final section describes the main contribution of filtering and smoothing theory to time series econometric problems.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Ch. 1. Introduction -- Ch. 2. Linear Regression for Seasonal Adjustment -- Ch. 3. Moving Averages for Seasonal Adjustment -- Ch. 4. Exponential Smoothing Methods -- Ch. 5. Some Results on the Univariate Processes -- Ch. 6. The Box and Jenkins Method for Forecasting -- Ch. 7. Multivariate Time Series -- Ch. 8. Time-series Representations -- Ch. 9. Estimation and Testing (Stationary Case) -- Ch. 10. Causality, Exogeneity, and Shocks -- Ch. 11. Trend Components -- Ch. 12. Expectations -- Ch. 13. Specification Analysis -- Ch. 14. Statistical Properties of Nonstationary Processes -- Ch. 15. State-space Models and the Kalman Filter -- Ch. 16. Applications of the State-space Model. , English
    Additional Edition: ISBN 0-521-42308-2
    Additional Edition: ISBN 0-521-41146-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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