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Business forecasting / John E. Hanke, Dean W. Wichern.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Pearson/Prentice Hall, c2009.Edition: 9th edDescription: xvii, 551 p. : ill. ; 27 cmISBN:
  • 0135009332
Subject(s): DDC classification:
  • 658.40355   22
Contents:
1. Introduction to Forecasting -- 2. A Review of Basic Statistical Concepts -- 3. Exploring Data Patterns and Choosing a Forecasting Technique -- 4. Moving Averages and Smoothing Methods -- 5. Time Series and Their Components -- 6. Simple Linear Regression -- 7. Multiple Regression Analysis -- 8. Regression with Time Series Data -- 9. The Box-Jenkins (ARIMA) Methodology -- 10. Judgmental Forecasting and Forecast Adjustments -- 11. Managing the Forecasting Process
Summary: Written in a simple, straightforward style, Business Forecasting 9/e presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 658.40355 / HA.B 2009 (Browse shelf(Opens below)) 1 Available 001887
Books Books Main library General Stacks 658.40355 / HA.B 2009 (Browse shelf(Opens below)) 2 Available 001666

ncludes bibliographical references and index.

1. Introduction to Forecasting -- 2. A Review of Basic Statistical Concepts -- 3. Exploring Data Patterns and Choosing a Forecasting Technique -- 4. Moving Averages and Smoothing Methods -- 5. Time Series and Their Components -- 6. Simple Linear Regression -- 7. Multiple Regression Analysis -- 8. Regression with Time Series Data -- 9. The Box-Jenkins (ARIMA) Methodology -- 10. Judgmental Forecasting and Forecast Adjustments -- 11. Managing the Forecasting Process

Written in a simple, straightforward style, Business Forecasting 9/e presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.

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