摘要
本文首先阐述了在长度计量中建立自回归滑动平均模型(Auto Regressive Moving Average Model)的理论,推导出预测的计算模型及误差估计,然后以一个生产实例,证明这个模型具有相当的置信度。
In this peper, first the authors expounded the theory of setting an a regressive moving average model in the length measurement and derived a mathematical model for length prediction and its error estimation. And then, using an example of the production practice, this model has been proved having fair confidence.
出处
《甘肃工业大学学报》
1989年第1期30-36,共7页
Journal of Gansu University of Technology
关键词
动态数据
ARMA模型
长度计量
dynamic date, auto-regressive moving average model, random disturbance, prediction, confidence, time series
