書誌事項

Business forecasting

John E. Hanke, Arthur G. Reitsch

Prentice-Hall, c1998

6th ed

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Appropriate for junior/senior and graduate level courses in Forecasting found in Economics or Statistics departments. This top-selling text presents, in a straightforward, application-driven manner, the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by managers for decision-making.

目次

1. Introduction to Forecasting. 2. A Review of Basic Statistical Concepts. 3. Data Sources. 4. Exploring Data Patterns and Choosing a Forecasting Technique. 5. Moving Averages and Smoothing Methods. 6. Regression Analysis. 7. Multiple Regression. 8. Time Series Analysis. 9. Regression of Time Series Data. 10. The Box-Jenkins (ARIMA) Methodology. 11. Judgmental Elements in Forecasting. Appendix A. Derivations. Appendix B. Data for Case Study 7.1. Appendix C. Tables. Appendix D. Data Sets and Database. Index.

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詳細情報

  • NII書誌ID(NCID)
    BA35833844
  • ISBN
    • 0137607458
  • LCCN
    97027153
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Upper Saddle River, N.J.
  • ページ数/冊数
    xvii, 581 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
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