Bibliographic Information

Business forecasting

John E. Hanke, Arthur G. Reitsch, Dean W. Wichern

Prentice-Hall, c2001

7th ed

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

For undergraduate and graduate courses in Business Forecasting, found in Decision Science and Economic departments. This best-selling text continues to be written in a simple, straightforward style and to make extensive use of practical business examples. Many exercises and forty-four cases are included to provide the link between theoretical concepts and their real-world applications. Statistical packages (Excel and Minitab) are referenced throughout.

Table of 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 Elements in Forecasting. 11. Managing the Forecasting Process. Appendix A. Derivations. Appendix B. Data for Case Study 7.1. Appendix C. Tables. Appendix D. Data Sets and Databases. Index.

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Details
  • NCID
    BA54329546
  • ISBN
    • 0130878103
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Upper Saddle River, N.J.
  • Pages/Volumes
    xiv, 498 p.
  • Size
    26 cm
  • Classification
  • Subject Headings
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