Principles of business forecasting / Keith Ord, Robert Fildes.

By:

Ord, Keith

Contributor(s):

Fildes, Robert

Material type:

TextPublication details: Mason : Cengage Learning, c2012.Description: xxii, 506 p. : ill. col. ; 26 cmISBN:

978113358440

Subject(s):

Business forecasting

DDC classification:

Contents:

1. Forecasting, the why and the how -- 2. Basic tools for forecasting -- 3. Forecasting trends: exponential smoothing -- 4. Seasonal series: forecasting and decomposition -- 5. State-space models for time series -- 6. Autoregressive Integrated Moving Average (ARIMA) models -- 7. Simple linear regression for forecasting -- 8. Multiple regression for time series -- 9. Model building -- 10. Advanced methods of forecasting -- 11. Judgment-based forecast -- 12. Putting forecasting methods to work -- 13. Forecasting in practice.

Summary: Forecasting techniques are shown in a variety of software platforms and the chapter organization provides an overview of forecasting in a variety of situations using time series and cross-sectional data. The focus then shifts to using extrapolative methods in forecasting, followed by statistical model-building. Finally, the authors cover more advanced techniques in the latter chapters, including the selection of the best forecasting method based on available data and the construction of a forecasting system with an organization.

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Item type	Current library	Call number	Status	Barcode
Books	Marbella International University Centre Library	338 ORD pri (Browse shelf(Opens below))	Available	10007

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Includes bibliographical references and index.

1. Forecasting, the why and the how --
2. Basic tools for forecasting --
3. Forecasting trends: exponential smoothing --
4. Seasonal series: forecasting and decomposition --
5. State-space models for time series --
6. Autoregressive Integrated Moving Average (ARIMA) models --
7. Simple linear regression for forecasting --
8. Multiple regression for time series --
9. Model building --
10. Advanced methods of forecasting --
11. Judgment-based forecast --
12. Putting forecasting methods to work --
13. Forecasting in practice.

Forecasting techniques are shown in a variety of software platforms and the chapter organization provides an overview of forecasting in a variety of situations using time series and cross-sectional data. The focus then shifts to using extrapolative methods in forecasting, followed by statistical model-building. Finally, the authors cover more advanced techniques in the latter chapters, including the selection of the best forecasting method based on available data and the construction of a forecasting system with an organization.

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