Spectral analysis of economic time series (PSME-1) /:
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: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ :
Princeton University Press,
2015.
|
| Schriftenreihe: | Princeton studies in mathematical economics ;
no. 1. |
| Schlagworte: | |
| Online-Zugang: | 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 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. |
| Beschreibung: | 1 online resource |
| ISBN: | 9781400875528 1400875528 069162478X 9780691624785 |
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| 505 | 0 | 0 | |a Frontmatter -- Foreword -- Preface -- Contents -- Chapter 1. Introduction to the Analysis of Time Series -- Chapter 2. Nature of Economic Time Series -- PART A. STATIONARY TIME SERIES -- Chapter 3. Spectral Theory -- Chapter 4. Spectral Analysis of Economic Data -- Chapter 5. Cross-spectral Analysis -- Chapter 6. Cross-spectral Analysis of Economic Data -- Chapter 7. Processes Involving Feedback -- PART ?. NON-STATIONARY TIME SERIES -- Chapter 8. Series With Trending Means -- Chapter 9. Series with Spectrum Changing with Time -- Chapter 10. Demodulation -- Chapter 11. Non-stationarity and Economic Series -- Chapter 12. Application of Cross-spectral Analysis and Complex Demodulation: Business Cycle Indicators -- Chapter 13. Application of Partial Cross-spectral Analysis: Tests of Acceleration Principle for Inventory Cycle -- Chapter 14. Problems Remaining -- Index |
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| author | Granger, C. W. J. (Clive William John), 1934-2009 Hatanaka, Michio |
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| contents | Frontmatter -- Foreword -- Preface -- Contents -- Chapter 1. Introduction to the Analysis of Time Series -- Chapter 2. Nature of Economic Time Series -- PART A. STATIONARY TIME SERIES -- Chapter 3. Spectral Theory -- Chapter 4. Spectral Analysis of Economic Data -- Chapter 5. Cross-spectral Analysis -- Chapter 6. Cross-spectral Analysis of Economic Data -- Chapter 7. Processes Involving Feedback -- PART ?. NON-STATIONARY TIME SERIES -- Chapter 8. Series With Trending Means -- Chapter 9. Series with Spectrum Changing with Time -- Chapter 10. Demodulation -- Chapter 11. Non-stationarity and Economic Series -- Chapter 12. Application of Cross-spectral Analysis and Complex Demodulation: Business Cycle Indicators -- Chapter 13. Application of Partial Cross-spectral Analysis: Tests of Acceleration Principle for Inventory Cycle -- Chapter 14. Problems Remaining -- Index |
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| spelling | Granger, C. W. J. (Clive William John), 1934-2009, author. https://id.oclc.org/worldcat/entity/E39PBJhhmKF3XW9R93rMR3fXh3 http://id.loc.gov/authorities/names/n80038244 Spectral analysis of economic time series (PSME-1) / by C.W.J. Granger in association with M. Hatanka. Princeton, NJ : Princeton University Press, 2015. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Princeton studies in mathematical economics ; number 1 Online resource; title from PDF title page (EBSCO, viewed November 3, 2015). Frontmatter -- Foreword -- Preface -- Contents -- Chapter 1. Introduction to the Analysis of Time Series -- Chapter 2. Nature of Economic Time Series -- PART A. STATIONARY TIME SERIES -- Chapter 3. Spectral Theory -- Chapter 4. Spectral Analysis of Economic Data -- Chapter 5. Cross-spectral Analysis -- Chapter 6. Cross-spectral Analysis of Economic Data -- Chapter 7. Processes Involving Feedback -- PART ?. NON-STATIONARY TIME SERIES -- Chapter 8. Series With Trending Means -- Chapter 9. Series with Spectrum Changing with Time -- Chapter 10. Demodulation -- Chapter 11. Non-stationarity and Economic Series -- Chapter 12. Application of Cross-spectral Analysis and Complex Demodulation: Business Cycle Indicators -- Chapter 13. Application of Partial Cross-spectral Analysis: Tests of Acceleration Principle for Inventory Cycle -- Chapter 14. Problems Remaining -- Index 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. Time-series analysis. http://id.loc.gov/authorities/subjects/sh85135430 Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Série chronologique. Économétrie. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh BUSINESS & ECONOMICS General. bisacsh Econometrics fast Time-series analysis fast Hatanaka, Michio, author. http://id.loc.gov/authorities/names/no93033360 Princeton studies in mathematical economics ; no. 1. http://id.loc.gov/authorities/names/no99024058 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1078378 Volltext |
| spellingShingle | Granger, C. W. J. (Clive William John), 1934-2009 Hatanaka, Michio Spectral analysis of economic time series (PSME-1) / Princeton studies in mathematical economics ; Frontmatter -- Foreword -- Preface -- Contents -- Chapter 1. Introduction to the Analysis of Time Series -- Chapter 2. Nature of Economic Time Series -- PART A. STATIONARY TIME SERIES -- Chapter 3. Spectral Theory -- Chapter 4. Spectral Analysis of Economic Data -- Chapter 5. Cross-spectral Analysis -- Chapter 6. Cross-spectral Analysis of Economic Data -- Chapter 7. Processes Involving Feedback -- PART ?. NON-STATIONARY TIME SERIES -- Chapter 8. Series With Trending Means -- Chapter 9. Series with Spectrum Changing with Time -- Chapter 10. Demodulation -- Chapter 11. Non-stationarity and Economic Series -- Chapter 12. Application of Cross-spectral Analysis and Complex Demodulation: Business Cycle Indicators -- Chapter 13. Application of Partial Cross-spectral Analysis: Tests of Acceleration Principle for Inventory Cycle -- Chapter 14. Problems Remaining -- Index Time-series analysis. http://id.loc.gov/authorities/subjects/sh85135430 Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Série chronologique. Économétrie. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh BUSINESS & ECONOMICS General. bisacsh Econometrics fast Time-series analysis fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85135430 http://id.loc.gov/authorities/subjects/sh85040763 |
| title | Spectral analysis of economic time series (PSME-1) / |
| title_auth | Spectral analysis of economic time series (PSME-1) / |
| title_exact_search | Spectral analysis of economic time series (PSME-1) / |
| title_full | Spectral analysis of economic time series (PSME-1) / by C.W.J. Granger in association with M. Hatanka. |
| title_fullStr | Spectral analysis of economic time series (PSME-1) / by C.W.J. Granger in association with M. Hatanka. |
| title_full_unstemmed | Spectral analysis of economic time series (PSME-1) / by C.W.J. Granger in association with M. Hatanka. |
| title_short | Spectral analysis of economic time series (PSME-1) / |
| title_sort | spectral analysis of economic time series psme 1 |
| topic | Time-series analysis. http://id.loc.gov/authorities/subjects/sh85135430 Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Série chronologique. Économétrie. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh BUSINESS & ECONOMICS General. bisacsh Econometrics fast Time-series analysis fast |
| topic_facet | Time-series analysis. Econometrics. Série chronologique. Économétrie. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. BUSINESS & ECONOMICS General. Econometrics Time-series analysis |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1078378 |
| work_keys_str_mv | AT grangercwj spectralanalysisofeconomictimeseriespsme1 AT hatanakamichio spectralanalysisofeconomictimeseriespsme1 |