markus kratzig (43 résultats)

paperback. Etat : Good. Good condition.No marking/highlighting.Cover and pages may show some wear.Not Satisfied? Contact us to get a refund.

paperback. Etat : Good. Satisfaction 100% guaranteed.

Etat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Etat : Good. Hardcover with no notes or highlights. As new. Used - Good.

Etat : New.

gebundene Ausgabe. Etat : 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.

Paperback. Etat : 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. In.

Paperback. Etat : New.

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

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

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

Etat : 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. Etat : Neu. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 384 pp. Englisch.

Taschenbuch. Etat : 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. Etat : 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.

Etat : New. In.

Hardcover. Etat : new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Etat : 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.

Hardback. Etat : 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.

Buch. Etat : 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.

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

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

Etat : 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.

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

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

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

Taschenbuch. Etat : 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.

Paperback. Etat : 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 ca.