β Scribed by F. Li; W.D. Laing; A.O. Ekwue; J.F. Macqueen
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper considers the problem of determining whether forecasts are unbiased and examines the implications this has for combining different forecasts. The practical issues of how economic forecasts might be combined are discussed. There is an empirical illustration of the procedures in which the p
System-based combination weights for series rlstep-length h incorporate relative accuracy information from other forecast step-lengths for r and from other series for step-length h. Such weights are examined utilizing the West and Fullerton (1996) data set-4275 ex unte employment forecasts from stru
## Abstract Based on the theories and methods of selfβorganizing data mining, a new forecasting method, called selfβorganizing combining forecasting method, is proposed. Compared with optimal linear combining forecasting methods and neural networks combining forecasting methods, the new method can
## Abstract Forecast combination based on a model selection approach is discussed and evaluated. In addition, a combination approach based on __ex ante__ predictive ability is outlined. The model selection approach which we examine is based on the use of Schwarz (SIC) or the Akaike (AIC) Informatio