ISBN: 9780691624785 - spectral analysis of economic time series (18 risultati)

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  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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  • Lingua: Inglese

    Editore: Princeton University Press, 2015

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  • Lingua: Inglese

    Editore: Princeton University Press, 2016

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    Condizione: New. The description for this book, Spectral Analysis of Economic Time Series. (PSME-1), will be forthcoming. Series: Princeton Studies in Mathematical Economics. Num Pages: 320 pages. BIC Classification: KC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156. . . 2015. Paperback. . . . . …

  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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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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    Condizione: New. The description for this book, Spectral Analysis of Economic Time Series. (PSME-1), will be forthcoming. Series: Princeton Studies in Mathematical Economics. Num Pages: 320 pages. BIC Classification: KC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156. . . 2015. Paperback. . . . . Books ship from the US and Ireland. …

  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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  • Lingua: Inglese

    Editore: Princeton University Press, 2015

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Princeton University Press, 2015

    069162478X / 9780691624785

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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 Univ Pr, 2015

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  • 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 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, 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. 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, New Jersey, 2015

    069162478X / 9780691624785

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