Browsing by Author "Hibon, Michele"

Now showing items 1-5 of 5

  • The accuracy of extrapolation (time series) methods: Results of a forecasting competition 

    Makridakis, Spyros; Andersen, A.; Carbone, Robert; Fildes, Robert; Hibon, Michele; Lewandowski, R.; Newton, J.; Parzen, Emanuel; Winkler, R. (John Wiley & Sons Ltd., 1982)
    In the last few decades many methods have become available for forecasting. As always, when alternatives exist, choices need to be made so that an appropriate forecasting method can be selected and used for the specific ...

  • Accuracy of Forecasting 

    Makridakis, Spyros; Hibon, Michele (Blackwell, 1979)
    The ultimate test of any forecast is whether or not it is capable of predicting future events accurately. Planners and decision makers have a wide choice of ways to forecast, ranging from purely intuitive or judgemental ...

  • Generalising about univariate forecasting methods: further empirical evidence 

    Fildes, Robert; Hibon, Michele; Makridakis, Spyros; Meade, Nigel (Elsevier, 1998)
    This paper extends the empirical evidence on the forecasting accuracy of extrapolative methods. The robustness of the major conclusions of the M-Competition data is examined in the context of the telecommunications data ...

  • The M2-competition: A real-time judgmentally based forecasting study 

    Makridakis, Spyros; Chatfield, Chris; Hibon, Michele; Lawrence, Michael; Mills, Terence; Ord, Keith; Simmons, LeRoy F. (Elsevier, 1993)
    The purpose of the M2-Competition is to determine the post sample accuracy of various forecasting methods. It is an empirical study organized in such a way as to avoid the major criticism of the M-Competition that forecasters ...

  • The M3-Competition: results, conclusions and implications 

    Makridakis, Spyros; Hibon, Michele (Elsevier, 2000)
    This paper describes the M3-Competition, the latest of the M-Competitions. It explains the reasons for conducting the competition and summarizes its results and conclusions. In addition, the paper compares such results / ...