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- Secondly, time series trend analysis models in common use are introduced, whose illative process and applicability are also expatiated. 其次,研究了常用的时序数据趋势分析模型,并对它们的推理过程和适用性进行了详细的阐述。
- Second, based on this, we can construct the similarity degree of time series trend, by using this similarity degree of time series trend, the users can do riddling secondly. 然后通过构造时间序列趋势的相似度,利用用户对趋势相似度的要求可以进行第二次筛选;
- time series trend 时间数列趋势
- 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。
- Based on the characteristics of distribution of SISE and theory of trend extrapolation of time series, we selected cubic polynomial predict model. 摘要基于SISE的分布特性和时间序列趋势外推理论,选择了三次多项大时间序列趋势外推模型预测SISE,结果表明该模型可行。
- ARMA(1,1) models have almost the same volatile trend as real P& L time series, yet the one day lag makes more violations. 模型虽然和真实的P&L有相似的波动趋势,但递延一期的效果却造成更大的损失超出次数;
- Based on the relative theories of biomathematics, a new approach to trend extrapolation of time series of ecological footprints is proposed in this paper. 摘要应用数学生态学的有关理论与方法,结合生态足迹的概念,提出了一种生态足迹时间序列的新的趋势外推分析方法;
- By using the function of wavelet multi 梥cale analysis,the non -stationary time series of the housing mean price can be divided into main trend part and detail part. 利用小波多尺度分析的功能,将非平稳时间序列的住宅房产均价分解成主要趋势和细节两大部分。
- 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。
- Based on the relative theories of biomathematics,a new approach to trend extrapolation of time series of ecological footprints is proposed in this paper. 应用数学生态学的有关理论与方法,结合生态足迹的概念,提出了一种生态足迹时间序列的新的趋势外推分析方法;
- It decomposes at first a time series into a trend part and some detail parts using the EMD, and then divides all trend series into two sets: training sets and testing sets. 先利用经验模式分解实现时间序列趋势的提取,再把所有的趋势序列分成训练集和测试集2个部分。
- After the trend extraction, the method of time series analysis is used to make the autoregressive moving average (ARMA) model for stationary time series. 在成功提取趋势项后,通过采用时间序列的分析方法,建立了陀螺漂移平稳时间序列的自回归滑动平均模型;
- 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。