Spectral analysis of economic time series:
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 devot...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[Princeton, NJ]
Princeton University Press
08.12.2015
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Schriftenreihe: | Princeton studies in mathematical economics
1 Princeton legacy library 2066 |
Schlagworte: | |
Online-Zugang: | EUV01 Volltext |
Zusammenfassung: | 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 paperback editions preserve the original texts of these important books while presenting them in durable paperback 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 |
Beschreibung: | 1 Online-Ressource |
ISBN: | 9781400875528 |
DOI: | 10.1515/9781400875528 |
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520 | |a 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 paperback editions preserve the original texts of these important books while presenting them in durable paperback 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 | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Granger, C. W. J. 1934-2009 Hatanaka, Michio |
author_GND | (DE-588)120941104 (DE-588)170068927 |
author_facet | Granger, C. W. J. 1934-2009 Hatanaka, Michio |
author_role | aut aut |
author_sort | Granger, C. W. J. 1934-2009 |
author_variant | c w j g cwj cwjg m h mh |
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collection | ZDB-23-DGG |
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dewey-full | 519.5/5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/5 |
dewey-search | 519.5/5 |
dewey-sort | 3519.5 15 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1515/9781400875528 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:30:39Z |
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isbn | 9781400875528 |
language | English |
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publisher | Princeton University Press |
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series | Princeton studies in mathematical economics Princeton legacy library |
series2 | Princeton studies in mathematical economics Princeton legacy library |
spelling | Granger, C. W. J. 1934-2009 Verfasser (DE-588)120941104 aut Spectral analysis of economic time series Clive William John Granger und Michio Hatanaka [Princeton, NJ] Princeton University Press 08.12.2015 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Princeton studies in mathematical economics 1 Princeton legacy library 2066 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 paperback editions preserve the original texts of these important books while presenting them in durable paperback 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 1964 Econometrics Time-series analysis Hatanaka, Michio Verfasser (DE-588)170068927 aut Elektronische Reproduktion von Granger, C. W. J., 1934-2009 Spectral analysis of economic time series Princeton, New Jersey : Princeton University Press, 1964 Princeton studies in mathematical economics ; number 1 Princeton studies in mathematical economics 1 (DE-604)BV046919870 1 Princeton legacy library 2066 (DE-604)BV045901266 2066 https://doi.org/10.1515/9781400875528 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Granger, C. W. J. 1934-2009 Hatanaka, Michio Spectral analysis of economic time series Princeton studies in mathematical economics Princeton legacy library Econometrics Time-series analysis |
title | Spectral analysis of economic time series |
title_auth | Spectral analysis of economic time series |
title_exact_search | Spectral analysis of economic time series |
title_full | Spectral analysis of economic time series Clive William John Granger und Michio Hatanaka |
title_fullStr | Spectral analysis of economic time series Clive William John Granger und Michio Hatanaka |
title_full_unstemmed | Spectral analysis of economic time series Clive William John Granger und Michio Hatanaka |
title_short | Spectral analysis of economic time series |
title_sort | spectral analysis of economic time series |
topic | Econometrics Time-series analysis |
topic_facet | Econometrics Time-series analysis |
url | https://doi.org/10.1515/9781400875528 |
volume_link | (DE-604)BV046919870 (DE-604)BV045901266 |
work_keys_str_mv | AT grangercwj spectralanalysisofeconomictimeseries AT hatanakamichio spectralanalysisofeconomictimeseries |