| 名称 | Statistical methods for forecasting | |
| 索引号 | O211.67/E20061 | |
| 分类号 | O211.67 O211.67(期望与预测) O211.6(随机过程) O211(概率论-几率论-或然率论) O21(概率论-数理统计) O(数理科学和化学) |
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| 作者 | Abraham、 Bovas、 1942-、Ledolter、 Johannes.、 | |
| 出版社 | Hoboken, N.J. : Wiley-Interscience, c2005. | |
| ISBN | ||
| 页数 | xv, 445 p. : ill. ; 23 cm. | |
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| 简介 | ||
| 注解 | Originally published: New York : Wiley, c1983. 附註 Includes bibliographical references (p. 379-385) and indexes. 內容 Introduction and summary -- The regression model and its application in forecasting -- Regression and exponential smoothing methods to forecast non-seasonal time series -- Regression and exponential smoothing methods to forecast seasonal time series -- Stochastic time series models -- Seasonal autoregressive integrated moving average models -- Relationships between forecasts from general exponential smoothing and forecasts from arima time series models -- Special topics -- References -- Exercises -- Data appendix -- Table appendix -- Index. | |










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