The “Introduction” sets the stage for forecasting by explaining its uses and how it relates to planning. It discusses how the principles cover all aspects of forecasting from formulating the problem to the use of the forecasts. It also explains where the principles come from. In short, they are based on the work of 40 leading experts who have reviewed the published research involving thousands of studies. Their conclusions have been subjected to extensive peer review by the other authors and by more than 120 outside reviewers, most of them leading experts in forecasting.


Conjoint Analysis Forecast Method Population Forecast Forecast Problem Forecast Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Armstrong, J. S. (1985), Long-Range Forecasting. New York: John Wiley. Full text at Scholar
  2. Ascher, W. (1978), Forecasting: An Appraisal for Policy Makers and Planners. Baltimore: Johns Hopkins University Press.Google Scholar
  3. Berelson, B. & G. A. Steiner (1964), Human Behavior: An Inventory of Scientific Findings. New York: Harcourt, Brace & World.Google Scholar
  4. Cowles, A. (1933), “Can stock market forecasters forecast?” Econometrica, 1, 309–324.CrossRefGoogle Scholar
  5. Craft, E.D. (1998), “The value of weather information services for nineteenth century Great Lakes shipping,” American Economic Review, 88, 1059–1076.Google Scholar
  6. Dorn, H. F. (1950), “Pitfalls in population forecasts and projections,” Journal of the American Statistical Association, 45, 311–334.CrossRefGoogle Scholar
  7. Drucker, P. F. (1973), Management. New York: Harper and Row.Google Scholar
  8. Glaser, D. (1954), “A reconsideration of some parole prediction factors,” American Sociological Review, 19, 335–340.CrossRefGoogle Scholar
  9. Hulbert, M. (1999), “How dot-com makes a company smell sweet,” New York Times, August 15.Google Scholar
  10. MacGregor, D. (1938), “The major determinants in the prediction of social events, Journal of Abnormal and Social Psychology, 3, 179–204.Google Scholar
  11. March, J. G. & H. A. Simon (1958), Organizations. New York: John Wiley.Google Scholar
  12. Meehl, P.E. (1954), Clinical versus Statistical Prediction: A Theoretical Analysis and a Review of Evidence. Minneapolis: University of Minnesota Press.CrossRefGoogle Scholar
  13. Mitofsky, W. J. (1998), “Was 1996 a worse year for polls than 1948?” Public Opinion Quarterly, 62, 230–249.CrossRefGoogle Scholar
  14. Perry, P. (1979), “Certain problems in election survey methodology,” Public Opinion Quarterly, 43, 312–325.CrossRefGoogle Scholar
  15. Ogburn, W. F. (1934), “Studies in prediction and the distortion of reality,” Social Forces, 13, 224–229.CrossRefGoogle Scholar
  16. Reiss, A. J. (1951), “The accuracy, efficiency and validity of a prediction instrument,” American Journal of Sociology, 56, 552–561.CrossRefGoogle Scholar
  17. Sanders, H. T. (1998), “Convention center follies,” The Public Interest, 132, 58–72.Google Scholar
  18. Sarbin, T. R. (1943), “A contribution to the study of actuarial and individual methods of prediction,” American Journal of Sociology, 48, 593–602.CrossRefGoogle Scholar
  19. Sherden, W. A. (1998), The Fortune Sellers. New York: John Wiley.Google Scholar
  20. Skousen, M. (1997), “The perseverance of Paul Samuelson’s Economics, Journal of Economic Perspectives, 11, No. 2, 137–152.CrossRefGoogle Scholar
  21. Squire, P. S. (1988), “Why the 1936 Literary Digest poll failed,” Public Opinion Quarterly, 15, 125–133.CrossRefGoogle Scholar
  22. Winston, C. (1993), “Economic deregulation: Days of reckoning for microeconomists,” Journal of Economic Literature, 31, 1263–1289.Google Scholar
  23. Wold, H. & L. Jureen (1953), Demand Analysis: A Study in Econometrics. New York: John Wiley.Google Scholar

Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • J. Scott Armstrong
    • 1
  1. 1.The Wharton SchoolUniversity of PennsylvaniaUSA

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