markus krätzig (45 risultati)

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gebundene Ausgabe. Condizione: Gut. 323 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Einbandkanten sind leicht bestoßen; Buchschnitt staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Englisch Gewicht in Gramm: 600.

Condizione: New.

Condizione: New. In.

paperback. Condizione: New.

Condizione: New. A demonstration of how time series econometrics can be used in economics and finance. Editor(s): Lutkepohl, Helmut; Kraetzig, Markus. Series Editor(s): Phillips, Peter C. B.; Ghysels, Eric; Smith, Richard J. Series: Themes in Modern Econometrics. Num Pages: 352 pages, 69 b/w illus. 38 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 229 x 154 x 21. Weight in Grams: 536. . 2010. Illustrated. paperback. . . . .

Hardcover. Condizione: Very Good. No Jacket. 1st Edition. 2004.Hardcover.Very good condition.323 pages.Ships from Japan.Usually ships in 1-2 working days.

Condizione: New. A demonstration of how time series econometrics can be used in economics and finance. Editor(s): Lutkepohl, Helmut; Kraetzig, Markus. Series Editor(s): Phillips, Peter C. B.; Ghysels, Eric; Smith, Richard J. Series: Themes in Modern Econometrics. Num Pages: 352 pages, 69 b/w illus. 38 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 229 x 154 x 21. Weight in Grams: 536. . 2010. Illustrated. paperback. . . . . Books ship from the US and Ireland.

paperback. Condizione: New. In shrink wrap. Looks like an interesting title!

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: Gut. Zustand: Gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Time series econometrics is used for predicting future developments of variables of interest such as economic growth, stock market volatility or interest rates. A model has to be constructed, accordingly, to describe the data generation process and to estimate its parameters. Modern tools to accomplish these tasks are provided in this volume, which also demonstrates by example how the tools can be applied.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.

Taschenbuch. Condizione: Neu. A Software Framework for Data Based Analysis | Requirements Analysis, Architecture and Usage of a Powerful Open Source Framework for Data Centric Software Development in Java | Markus Krätzig | Taschenbuch | 384 S. | Englisch | 2013 | VDM Verlag Dr. Müller e.K. | EAN 9783836484558 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Condizione: New.

Condizione: New. In.

Condizione: New. A demonstration of how time series econometrics can be used in economics and finance. Editor(s): Lutkepohl, Helmut; Kraetzig, Markus. Series: Themes in Modern Econometrics. Num Pages: 352 pages, 69 b/w illus. 38 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 29. Weight in Grams: 718. . 2004. Illustrated. hardcover. . . . .

Hardback. Condizione: New. Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.

Condizione: New. A demonstration of how time series econometrics can be used in economics and finance. Editor(s): Lutkepohl, Helmut; Kraetzig, Markus. Series: Themes in Modern Econometrics. Num Pages: 352 pages, 69 b/w illus. 38 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 29. Weight in Grams: 718. . 2004. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Time series econometrics is used for predicting future developments of variables of interest such as economic growth, stock market volatility or interest rates. A model has to be constructed, accordingly, to describe the data generation process and to estimate its parameters. Modern tools to accomplish these tasks are provided in this volume, which also demonstrates by example how the tools can be applied.

Hardback. Condizione: New. Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condizione: Brand New. illustrated edition. 350 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.

Paperback. Condizione: new. Paperback. Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses. The cointegration revolution has had a substantial impact on applied analysis. The methods for conducting this analysis are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can be used as a textbook for courses on applied time series econometrics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand pp. 352 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Print on Demand pp. 352 Index.

Condizione: New. PRINT ON DEMAND pp. 352, Abbreviations, 69 Line Diagrams.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of domain specific software frameworks can significantly speed up application development because they provide ready made components as well as a reusable design. This text presents the Java framework JStatCom which evolved from experiences made during the development of JMulTi, a popular software for time series analysis. It describes in detail the requirements for such a framework and offers solutions to all recurring tasks, for example, the internal data representation of complex statistical models, the interaction between the data model and the graphical user interface, and the management of computing tasks in a multithreaded environment. Furthermore, it is described how the process of interfacing external software packages for specific numerical calculations can be standardized. An abstract interface is presented that may be used to hide the underlying complexities of data type conversions and specific calling semantics from the user of the framework. The text comes with many code examples and UML diagrams that help to understand each subsystem. Developers planning to develop data analysis software in Java can greatly benefit from this book. 384 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The use of domain specific software frameworks can significantly speed up application development because they provide ready made components as well as a reusable design. This text presents the Java framework JStatCom which evolved from experiences made dur.