期刊
MATHEMATICAL AND COMPUTER MODELLING
卷 36, 期 9-10, 页码 997-1005出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0895-7177(02)00253-4
关键词
errors square sum; optimal combined forecasting (OCF); errors bounds; simple average method; general combined forecasting
In this paper, we describe a mathematical framework of estimating the error bounds of optimal combined forecasting (OCF) and the super-bound of nonoptimal combined forecasting errors. We also determine the existent interval [gimel(min)/n, gimel(max)/n] of the minimal errors square sum J* of optimal combined forecasting. Furthermore, we give the relationships between the errors of the general combined forecasting method (including the simple average method) and the errors of each forecasting model in the combination by mathematics analysis. (C) 2002 Elsevier Science Ltd. All rights reserved.
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