Forecasting method for weak trend quantities

被引：0
|
作者：
Soltan, HAM [1 ]
机构：
[1] Mansoura Univ, Fac Engn, Ind Prod Engn Inst, Mansoura, Egypt
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 1998年 / 35卷 / 3-4期
关键词：
forecasting; time series; combined periods; frequency/probability distributions; expected forecast;
D O I：
10.1016/S0360-8352(98)00120-X
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Sometimes the output or input quantities of a system are subjected to random variations incurred from surrounding environments. In such a case, the available historical quantities can not be fitted to one of the known patterns. Therefore, the forecasting about future quantities becomes a stochastic problem. Tn other words, the methods of time series analysis, in any way, can't be conducted directly to the given data. This paper presents an approximation method for forecasting when the original historical quantities don't fit a trend. The method is mainly based on the assumption that the quantities constitute a frequency distribution with repetitive folds; each of them can be explained by a probability distribution at a specific significance level. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：407 / 410
页数：4
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