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- Using time series method to establish ARIMA (11,1,0) model for some wind speed directly measured from wind farms’ certain station in China. 文章运用时间序列法对我国某风电场测风站实测风速建立时序ARIMA(11,1,0)模型，并进行风速预测。
- The first one is chosen using time series method, and the second is obtained from measurements using the autocovariance function of the stationary stochastic process. 二是应用平稳随机过程的自协方差函数从双差观测值中提取的正则化矩阵。
- Using dynamical system theory and the methods of model building to analyze the Spectrometric oil analysis data with time series method. 本文利用多种数学理论和方法对光谱分析数据进行处理，其中包括浓度和梯度界限值的制定，浓度和梯度的模糊综合评判。
- Hegger R, Kantz H, Schreiber T, et al. Practical implementation of nonlinear time series methods: The TISEAN package. 温权，张勇传，程时杰.;混沌时间序列预测技术
- Analysis and application of stationary time series method 平稳时间序列法的分析和应用
- Compared Time Series Method With Mathematical Statistics Method 时历法与数理统计法的应用浅析
- Application of Time Series Method to Structural Observed-data Analysis 时间序列方法在观测资料分析中的应用
- Study on modified time series method of data correct in petrochemical equipment 修正时序法在石化装置数据校正中的应用研究
- RESEARCH ON LANDSLIDE TIME FORECAST BY THE UNSTABLE TIME SERIES METHOD 滑坡时间预报的非平稳时间序列方法研究
- Deformation Prediction with weighted Grey GOM(1,1) Model and Time Series Method 变形预测的加权灰色GOM(1,1)模型与时序方法
- Interdisciplinary application of nonlinear time series methods 非线性时间序列分析方法的应用
- PREDICTION OF PRODUCTION PERFORMANCES OF OIL AND INJECTION WELLS WITH MULTIVARIATE TIME SERIES METHOD 用多元时序分析法预测油水井动态
- Application of Time Series Method in the Analysis and Simulation of Crop Evapotranspiration 时间序列法在参考作物腾发量分析与模拟中的应用
- This is called a deseasonalizing time series. 这叫调和时间数列。
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Predicts the future values for a time series. 预测一个时序的未来值。
- The method can be used for time series pretreatment and the AR analyzing. 变换方法可用于有限长度时间序列的预处理。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- Predicting the Tendency of Precipitation with Time Series Method in Northern Mountain Area 巴州北部山区汛期降水趋势的时间序列预测法
- It must need nonlinear method to reflect essence of the time series veritably. 试想，要真实地反映出这些非线性时间序列的本质，就必须使用非线性工具。
