摘要
采用灰色数列预测模型对时间序列x(t)作拟合或预测时,通常的计算方案所得出的x(t)的估计值x(t)和数列的首项数据无关,因此已知的N个数据只利用了N-1个,没有充分利用数据所提供的信息,本文提出的改进方案克服了这一不足。
Because the estimation (?)(t) for x (t) with common calculation dose not relate to the first term data of series, When the grey series forecasting model is applied for fitting and forecasting time series x(t), only N-1 in N known data are used, that do not completely get more enough information. This paper sets a improving method for this disadvantage.
出处
《中国卫生统计》
CSCD
北大核心
1991年第5期21-24,共4页
Chinese Journal of Health Statistics
关键词
灰色模型
预测
时间序列
Grey model Prediction Time series
