Isbn: 9780691624785 - spectral analysis of economic time series (11 risultati)

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  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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    Editore: Princeton University Press, 2015

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  • Lingua: Inglese

    Editore: Princeton University Press, 2015

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    Condizione: New. pp. 318.

  • Lingua: Inglese

    Editore: Princeton University Press, 2015

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  • Lingua: Inglese

    Editore: Princeton University Press, 2015

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  • Lingua: Inglese

    Editore: Princeton Univ Pr, 2015

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    Paperback. Condizione: Brand New. 320 pages. 9.21x6.14x0.63 inches. In Stock.

  • Lingua: Inglese

    Editore: Princeton University Press, US, 2015

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    Paperback. Condizione: New. The important data of economics are in the form of time series; therefore, the statistical methods used will have to be those designed for time series data. New methods for analyzing series containing no trends have been developed by communication engineering, and much recent research has been devoted to adapting and extending these methods so that they will be suitable for use with economic series. This book presents the important results of this research and further advances the application of the recently developed Theory of Spectra to economics. In particular, Professor Hatanaka demonstrates the new technique in treating two problems-business cycle indicators, and the acceleration principle existing in department store data. Originally published in 1964. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions.The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

  • Lingua: Inglese

    Editore: Princeton University Press, US, 2015

    069162478X / 9780691624785

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    Paperback. Condizione: New. The important data of economics are in the form of time series; therefore, the statistical methods used will have to be those designed for time series data. New methods for analyzing series containing no trends have been developed by communication engineering, and much recent research has been devoted to adapting and extending these methods so that they will be suitable for use with economic series. This book presents the important results of this research and further advances the application of the recently developed Theory of Spectra to economics. In particular, Professor Hatanaka demonstrates the new technique in treating two problems-business cycle indicators, and the acceleration principle existing in department store data. Originally published in 1964. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions.The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The important data of economics are in the form of time series; therefore, the statistical methods used will have to be those designed for time series data. New methods for analyzing series containing no trends have been developed by communication engineering, and much recent research has been devoted to adapting and extending these methods so that they will be suitable for use with economic series. This book presents the important results of this research and further advances the application of the recently developed Theory of Spectra to economics. In particular, Professor Hatanaka demonstrates the new technique in treating two problems-business cycle indicators, and the acceleration principle existing in department store data.Originally published in 1964.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

  • Lingua: Inglese

    Editore: Princeton University Press, 2016

    069162478X / 9780691624785

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorClive William John Granger & Michio HatanakaKlappentextrnrnThe important data of economics are in the form of time series therefore, the statistical methods used will have to be those designed for .

  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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    Taschenbuch. Condizione: Neu. Spectral Analysis of Economic Time Series. (PSME-1) | Clive William John Granger (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2015 | Princeton University Press | EAN 9780691624785 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.