随机时间序列 meaning in Chinese
stochastic time series
Examples
- Testing for a unit root in time series with tarch - skew - t errors
混凝土碳化深度随机时间序列预报模型 - The researches of stock price forecasting which obey stochastic time series models
遵循随机时间序列模型的股价预报研究 - Abstract : in this paper we analyse some predictation approaches of random time series and by using arma model we predict effectually the weighted aggregative indexes of securities market in shanghai and shenzhen
文摘:分析了随机时间序列的统计预测方法，并利用arma模型对深沪市未来短期指数进行了有效预报。 - According to the data of the covariance - stationary stochastic time series , we can get the state space modeling algorithm quickly and stably by singular value decompositi on and orthogonal projection . this algorithm will be faster and more stable
在已知平稳随机时间序列样本数据的情况下，论述了如何采用正交投影算法和正交奇异值算法建立随机时间序列的状态空间模型和状态矢量估计，这种数学建模方法对于船舶机舱中的系统数学建模有很大的帮助 - Firstly , the forecast problem based on vendor managed inventory ( vmi , for short ) model is talked about . according to inventory demand changing with season and some random factors existing in actual problem , a new algorithm composed of a random time series forecast method and gm ( 1 , 1 ) is put forward , and a mathematic model is constructed to analyze history data . as a result , the precision of the requirement forecast is increased greatly
本文首先研究了供应商管理库存( vendormanagedinventory ,简称vmi )模式下分布式库存需求的预测方法,根据库存需求数据具有季节性变化的特点,并考虑到这一变化的不确定性,采用基于随机时间序列和灰度预测的组合预测算法对问题进行建模,并在此基础上进行分析预测,从而使数据拟合有很大程度的提高。