Now showing items 1-5 of 5
Generalising about univariate forecasting methods: further empirical evidence
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 ...
Forecasting and loss fuctions
(International Journal of Forecasting, 1988)
This paper considers two problems of interpreting forecasting competition error statistics. The first problem is concerned with the importance of linking the error measure (loss function) used in evaluating a forecasting ...
Spyros Makridakis: An interview with theInternational Journal of Forecasting
Following the attainment of a place in the GreekSailing Team in the Olympics of 1960, SpyrosMakridakis set sail for New York University wherehe obtained a PhD in 1969. His first academicappointment was at INSEAD where he ...
The Impact of Empirical Accuracy Studies On Time Series Analysis and Forecasting
(International Statistical Institute (ISI), 1995-12)
This paper examines a major area of statistics: the application of time series analysis to forecasting, particularly as it applies to the areas of business and economics. This area is unusual in the social sciences in that ...
The accuracy of extrapolation (time series) methods: Results of a forecasting competition
(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 ...