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- time series structure 时序结构
- 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。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- Tab to display the tree view of the time series model. 选项卡可以显示时序模型的树视图。
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
- Nevertheless, the oversimplified structure and the inaccurate application of the fractal character of time series degrade the performance of the filter. 但是其过于简单的结构和对时间序列分形特征量并应用的不准确影响其性能。
- 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。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生长的起伏型时间序列模拟研究。
- You can define input data for the Microsoft Time Series model in two ways. 可以用两种方式定义Microsoft时序模型的输入数据。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具体用到的分析工具有SWOT分析、时间序列分析方法等等。
- A time series data set is a sequence of random variables indexed by time. 时间序列数据是以时间为指标的一个随机变量序列。
- This paper studies the problem of Fractional-Integra tion (FI) time series. 研究了向量分整序列的非线性协整问题。
- For obvious reasons these methodologies can only apply to time series. 因为显而易见的原因，这些模型只能用于时间序列。
- 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。
- This paper studies the relation among energy consumption,GDP and energy structure with cointegration theory and studies the Granger causality between the three time series of 1980-2003 in Guangzhou. 能源消费及能源结构与GDP之间关系对于广州的能源环境和经济的可持续发展十分重要。 本文在广州市1980-2003年的年度统计数据基础上,运用格兰杰因果关系检验研究了时间序列变量之间是否存在因果关系;
- To further understand the space-time structure of hydrological variables, the observed values at each measurement site are considered as separate but correlated in the one-dimensional time series. 为了更进一步?解水文变数之时空架构，每个测站观测资料视为一维时间序列，但测站与测站间关系为二维空间结构。
