non-stationary ARMA process 非平稳ARMA过程
To analyze the impact of advanced customer demand commitment on a supply chain, the customer demand with ARMA (1, 1) process is considered.
为了分析供应链需求提前承诺的影响效果，考虑供应链所面临的顾客需求满足ARMA(1,1)过程。
In this paper, a method of process quality diagnosis using hypothesis testing for residual sequence of ARMA innovation model estimation error by recursive maximum likelihood method was studied.
本文基于辨识 ARMA新息模型生成估计残差序列 ，再对残差序列的平均值和无偏方差进行假设检验 ，可实现工序质量的异常诊断。
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