Statistical Methods for Forecasting
Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged...
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| Những tác giả chính: | , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
Wiley
2012
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30048 |
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oai:scholar.dlu.edu.vn:DLU123456789-300482012-03-03T07:39:04Z Statistical Methods for Forecasting Abraham, Bovas Ledolter, Johanes Economics Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government 2012-02-29T00:44:53Z 2012-02-29T00:44:53Z 2005 Book 9780471769873 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30048 en application/pdf Wiley |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Economics |
| spellingShingle |
Economics Abraham, Bovas Ledolter, Johanes Statistical Methods for Forecasting |
| description |
Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government |
| format |
Book |
| author |
Abraham, Bovas Ledolter, Johanes |
| author_facet |
Abraham, Bovas Ledolter, Johanes |
| author_sort |
Abraham, Bovas |
| title |
Statistical Methods for Forecasting |
| title_short |
Statistical Methods for Forecasting |
| title_full |
Statistical Methods for Forecasting |
| title_fullStr |
Statistical Methods for Forecasting |
| title_full_unstemmed |
Statistical Methods for Forecasting |
| title_sort |
statistical methods for forecasting |
| publisher |
Wiley |
| publishDate |
2012 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30048 |
| _version_ |
1757661044971405312 |