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Sampling Distributions of Post-Sample Forecasting Errors
(Wiley, 1989)
Forecasting errors fall in two clearly different categories: (a) the residual errors from fitting a model to the available data and (b) the post-sample forecasting errors. The emphasis of statistical theory and forecasting ...
‘Horses for Courses’ in demand forecasting
(Elsevier, 2014-02-22)
Forecasting as a scientific discipline has progressed a lot in the last 40 years, with Nobel prizes being
awarded for seminal work in the field, most notably to Engle, Granger and Kahneman. Despite these
advances, even ...
Sampling distributions of post-sample forecasting errors
(Wiley, 1989)
Forecasting errors fall in two clearly different categories: (a) the residual errors from fitting a model to the available data and (b) the post-sample forecasting errors. The emphasis of statistical theory and forecasting ...
The value of empirical work: A personal view
(Elsevier, 1993)
When I compare the field of forecasting with other social science disciplines I see a major advantage. We have the ability to empirically test the validity of our theories and find out the methods/ models that provide ...
Forecasting Methods for Managers
(Palgrave Macmillan Journals, 1974)
The forecasting techniques available have increased both in number and com-plexity, so now is the time for a book to help both OR workers and managers to choose the most appropriate technique. Spyros Makridakis and Steven ...
Strategic business forecasting
(Elsevier, 1996)
First, it is practically oriented. It avoids
theoretical, and mathematical discussions. It
directly gets into how to use it, when to use
it, what it is used for, and what resources
are required of it. It includes many ...
The M3-Competition: results, conclusions and implications
(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 / ...