Business Forecasting with ForecastX Software & Student CD
by Wilson, J. Holton; Keating, BarryEdition: 5th
Format: Hardcover
Pub. Date: 2005-12-20
Publisher(s): McGraw-Hill/Irwin
Other versions by this Author
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Summary
The Fifth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful softwareForecast X.This new edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, while theory and math are held to a minimum. This edition focuses on the most proven, acceptable methods used commonly in business and government such as regression, smoothing, decomposition, and Box-Jenkins.This new edition continues to integrate the most comprehensive software tool available in this market, Forecast X. With the addition of ForeCastX, this text provides the most complete and up-to-date coverage of forecasting concepts with the most technologically sophisticated software package on the market. This Excel-based tool (which received a 4 point out 5 rating from PC Magazine, Oct. 2, 2000 issue) effectively uses wizards and many tools to make forecasting easy and understandable.
Table of Contents
Wilson/Keating, 5/e Brief TOC
Chapter 1
Introduction to Business Forecasting
Chapter 2
The Forecast Process, Data Considerations, and Model Selection
Chapter 3
Moving Averages and Exponential Smoothing
Chapter 4
Introduction to Forecasting with Regression Methods
Chapter 5
Forecasting with Multiple Regressions
Chapter 6
Times-Series Decomposition
Chapter 7
ARIMA (Box-Jenkins) Type Forecasting Models
Chapter 8
Combining Forecast Results
Chapter 9
Forecast Implications
Chapter 2
The Forecast Process, Data Considerations, and Model Selection
Chapter 3
Moving Averages and Exponential Smoothing
Chapter 4
Introduction to Forecasting with Regression Methods
Chapter 5
Forecasting with Multiple Regressions
Chapter 6
Times-Series Decomposition
Chapter 7
ARIMA (Box-Jenkins) Type Forecasting Models
Chapter 8
Combining Forecast Results
Chapter 9
Forecast Implications
Chapter 4
Introduction to Forecasting with Regression Methods
Chapter 5
Forecasting with Multiple Regressions
Chapter 6
Times-Series Decomposition
Chapter 7
ARIMA (Box-Jenkins) Type Forecasting Models
Chapter 8
Combining Forecast Results
Chapter 9
Forecast Implications
Chapter 6
Times-Series Decomposition
Chapter 7
ARIMA (Box-Jenkins) Type Forecasting Models
Chapter 8
Combining Forecast Results
Chapter 9
Forecast Implications
Chapter 8
Combining Forecast Results
Chapter 9
Forecast Implications
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