Then sample time series was chosen which had the same property with predicting object.
因此本文提出基于属性分类的时间序列预测方案。
The aim of this paper is to give a systematic account of asymptotic properties of the sample autocovariance, autocorrelation and partial autocorrelation functions of linear stationary time series.
本文的目的在于，对于线性平稳时间序列的样本、自协方差、自相关和偏相关函数的渐近性质，给出一个比较系统的描述。
This thesis discusses period analysis methods of hydrological time series, and compares them from theory, measured sample calculation and Monte-Ca.
本文从理论基础、实测样本计算和统计试验方法三个方面对水文时间序列的周期分析检测方法进行了分析研究。
Some statistical test methods on "fat tail" distribution of time series are obtained by using properties of extreme value theory and extreme index estimator under large sample.
使用极值理论和极值指数估计量的性质，在大样本的情况下得到序列分布“肥尾”现象的检验方法。
Last, the next sample of the original time series was predicted by another neural network.
最新的原始的时间序列的下一个样本由另一个神经网络预测。
In contrast, we study the joint time-series of illiquidity for different maturities over an extended time sample.
相比之下，我们所研究的是对于不同期限较长时间的样本，联合时序的非流动性不足。
The power spectrum of wind speed time series sample is coincident with the aim power spectrum curve.
得到的风速时程样本的功率谱密度与目标曲线吻合很好。
The power spectrum of wind speed time series sample is coincident with the aim power spectrum curve.
得到的风速时程样本的功率谱密度与目标曲线吻合很好。
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