Forecasting and time series : an applied approach
著者
書誌事項
Forecasting and time series : an applied approach
（The Duxbury advanced series in statistics and decision sciences）
Duxbury Press, c1993
3rd ed
大学図書館所蔵 件 / 全3件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
この図書・雑誌をさがす
注記
Rev. ed. of: Time series forecasting. 2nd ed. c1987
Includes bibliographical references (p. 716-718) and index
内容説明・目次
内容説明
This text introduces readers to time series and forecasting techniques and contains coverage of linear regression analysis, which provides much of the conceptual foundation of forecasting. A chapter on basic statistical concepts and nearly 400 new computer printouts of Minitab and SAS have been added. Extensive use of Minitab and SAS output, including end-of-chapter sections explaining the use of these packages, gives students experience using forecasting software.
目次
- An introduction to forecasting
- Basic statistical concepts
- Forecasting by using regression analysis
- Simple linear regression
- Multiple regression
- Topics in regression analysis
- Forecasting by using time series regression, decomposition methods and exponential smoothing
- Time series regression
- Decomposition methods
- Exponential smoothing
- Forecasting by using basic techniques of the box Jenkins methodology
- Nonseasonal, box-Jenkins models and their tentative identification
- Estimation, diagnostic checking and forecasting for nonseasonal box-Jenkins models
- An introduction to box-Jenkins seasonal modelling
- Forecasting by using advanced technology of the box-Jenkins methodology
- General box-Jenkins seasonal modelling
- Using the box-Jenkins methodology to improve time series regression models and to implement exponential smoothing
- Transfer functions and intervention models.
「Nielsen BookData」 より